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Brain And Nature Inspired Learning Computation And Recognition

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Brain and Nature Inspired Learning Computation and Recognition

Brain and Nature Inspired Learning Computation and Recognition Book
Author : Licheng Jiao,Ronghua Shang,Weitong Zhang,Fang Liu
Publisher : Elsevier
Release : 2020-01-31
ISBN : 9780128197950
Language : En, Es, Fr & De

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Book Description :

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception

Brain and Nature Inspired Learning Computation and Recognition

Brain and Nature Inspired Learning  Computation and Recognition Book
Author : Licheng Jiao,Ronghua Shang,Fang Liu,Weitong Zhang
Publisher : Elsevier
Release : 2020-01-18
ISBN : 0128204044
Language : En, Es, Fr & De

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Book Description :

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception

Process Safety and Big Data

Process Safety and Big Data Book
Author : Sagit Valeev,Natalya Kondratyeva
Publisher : Elsevier
Release : 2021-02-18
ISBN : 0128220678
Language : En, Es, Fr & De

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Book Description :

Process Safety and Big Data discusses the principles of process safety and advanced information technologies. It explains how these principles are applied to the process industry and provides examples of applications in process safety control and decision support systems. This book helps to address problems that researchers face in industry that are the result of increased process complexity and that have an impact on safety issues. It shows ways to tackle these safety issues by implementing modern information technologies, such as big data analysis and artificial intelligence. It provides an integrated approach to modern information technologies used in control and management of process safety in industry. The book also considers indicators and criteria in effective safety decisions, and addresses the issue of how big data would provide support for improved, autonomous, data-driven decisions. Paves the way for the digital transformation of safety science and safety management Takes a system approach to advanced information technologies used in process safety Applies big data technologies to process safety Includes multiple pertinent case studies

Nature Inspired Computing Concepts Methodologies Tools and Applications

Nature Inspired Computing  Concepts  Methodologies  Tools  and Applications Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2016-07-26
ISBN : 1522507892
Language : En, Es, Fr & De

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Book Description :

As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Nature Inspired Computing Design Development and Applications

Nature Inspired Computing Design  Development  and Applications Book
Author : Nunes de Castro, Leandro
Publisher : IGI Global
Release : 2012-05-31
ISBN : 1466615753
Language : En, Es, Fr & De

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Book Description :

The observation of nature has been the inspiration for many materials, laws, and theories, as well as computational methods. Nature-Inspired computing Design, Development, and Applications covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation. Researchers, academic educators, and professionals will find a comprehensive view of all aspects of natural computing with emphasis on its main branches.

Brain Inspired Computing

Brain Inspired Computing Book
Author : Lucio Grandinetti,Thomas Lippert,Nicolai Petkov
Publisher : Springer
Release : 2014-10-16
ISBN : 3319120840
Language : En, Es, Fr & De

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Book Description :

This book constitutes the thoroughly refereed conference proceedings of the International Workshop on Brain-inspired Computing, BrainComp 2013, held in Cetraro, Italy, in July 2013. The 16 revised full papers were carefully reviewed and selected from numerous submissions and cover topics such as brain structure and function as a neuroscience perspective, computational models and brain-inspired computing, HPC and visualization for human brain simulations.

Nature Inspired VLSI Circuits From Concept to Implementation

Nature Inspired VLSI Circuits   From Concept to Implementation Book
Author : Hongjiang Song
Publisher : Lulu.com
Release : 2021-12-02
ISBN : 1387847163
Language : En, Es, Fr & De

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Book Description :

Download Nature Inspired VLSI Circuits From Concept to Implementation book written by Hongjiang Song, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Brain Inspired Computing

Brain Inspired Computing Book
Author : Katrin Amunts,Lucio Grandinetti,Thomas Lippert,Nicolai Petkov
Publisher : Springer Nature
Release : 2021-07-20
ISBN : 3030824276
Language : En, Es, Fr & De

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Book Description :

This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.

New Advances at the Intersection of Brain Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics

New Advances at the Intersection of Brain Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics Book
Author : Guang Chen,Pascual Campoy,Changhong Fu,Caixia Cai
Publisher : Frontiers Media SA
Release : 2020-09-02
ISBN : 2889639711
Language : En, Es, Fr & De

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Book Description :

Download New Advances at the Intersection of Brain Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics book written by Guang Chen,Pascual Campoy,Changhong Fu,Caixia Cai, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Nature Inspired Computing for Control Systems

Nature Inspired Computing for Control Systems Book
Author : Hiram Eredín Ponce Espinosa
Publisher : Springer
Release : 2015-12-16
ISBN : 3319262300
Language : En, Es, Fr & De

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Book Description :

The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.

Applied Nature Inspired Computing Algorithms and Case Studies

Applied Nature Inspired Computing  Algorithms and Case Studies Book
Author : Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
Publisher : Springer
Release : 2019-08-10
ISBN : 9811392633
Language : En, Es, Fr & De

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Book Description :

This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Intelligent Computing Theories and Methodologies

Intelligent Computing Theories and Methodologies Book
Author : De-Shuang Huang,Vitoantonio Bevilacqua,Prashan Premaratne
Publisher : Springer
Release : 2015-08-10
ISBN : 3319221809
Language : En, Es, Fr & De

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Book Description :

This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.

Handbook of Research on Soft Computing and Nature Inspired Algorithms

Handbook of Research on Soft Computing and Nature Inspired Algorithms Book
Author : Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K.
Publisher : IGI Global
Release : 2017-03-10
ISBN : 1522521291
Language : En, Es, Fr & De

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Book Description :

Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.

Advances in Multi Objective Nature Inspired Computing

Advances in Multi Objective Nature Inspired Computing Book
Author : Carlos Coello Coello,Clarisse Dhaenens,Laetitia Jourdan
Publisher : Springer Science & Business Media
Release : 2010-02-04
ISBN : 364211217X
Language : En, Es, Fr & De

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Book Description :

The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.

Frontiers in Nature Inspired Industrial Optimization

Frontiers in Nature Inspired Industrial Optimization Book
Author : Mahdi Khosravy
Publisher : Springer Nature
Release : 2021-12-02
ISBN : 981163128X
Language : En, Es, Fr & De

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Book Description :

Download Frontiers in Nature Inspired Industrial Optimization book written by Mahdi Khosravy, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Advances in Brain Inspired Cognitive Systems

Advances in Brain Inspired Cognitive Systems Book
Author : Jinchang Ren,Amir Hussain,Huimin Zhao,Kaizhu Huang,Jiangbin Zheng,Jun Cai,Rongjun Chen,Yinyin Xiao
Publisher : Springer Nature
Release : 2020-01-31
ISBN : 303039431X
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019. The 57 papers presented in this volume were carefully reviewed and selected from 129 submissions. The papers are organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; and data analysis and natural language processing.

Handbook of Nature Inspired and Innovative Computing

Handbook of Nature Inspired and Innovative Computing Book
Author : Albert Y. Zomaya
Publisher : Springer Science & Business Media
Release : 2006-03-28
ISBN : 0387277056
Language : En, Es, Fr & De

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Book Description :

As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

Intelligent Computing Theories and Methodologies

Intelligent Computing Theories and Methodologies Book
Author : De-Shuang Huang,Kang-Hyun Jo,Abir Hussain
Publisher : Springer
Release : 2015-07-30
ISBN : 9783319221854
Language : En, Es, Fr & De

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Book Description :

This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The 191 full papers and 42 short papers of this volume were carefully reviewed and selected from 191 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.

Neural Information Processing

Neural Information Processing Book
Author : Bao-Liang Lu,Liqing Zhang,James Kwok
Publisher : Springer Science & Business Media
Release : 2011-10-26
ISBN : 3642249574
Language : En, Es, Fr & De

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Book Description :

The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, Kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.

Time Space Spiking Neural Networks and Brain Inspired Artificial Intelligence

Time Space  Spiking Neural Networks and Brain Inspired Artificial Intelligence Book
Author : Nikola K. Kasabov
Publisher : Springer
Release : 2018-08-29
ISBN : 3662577151
Language : En, Es, Fr & De

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Book Description :

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.