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Quantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence Book
Author : Siddhartha Bhattacharyya,Ujjwal Maulik,Paramartha Dutta
Publisher : Morgan Kaufmann
Release : 2016-09-15
ISBN : 9780128044094
Language : En, Es, Fr & De

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Book Description :

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence-or soft computing-is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information. Brings together quantum computing with computational intelligence to achieve enhanced performance and robust solutions Includes numerous case studies, tools, and technologies to apply the concepts to real world practice Provides the missing link between the research and practice

Quantum Inspired Intelligent Systems

Quantum Inspired Intelligent Systems Book
Author : Leandro dos Santos Coelho
Publisher : Springer Science & Business Media
Release : 2008-05-29
ISBN : 3540785310
Language : En, Es, Fr & De

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Book Description :

Research on applying principles of quantum computing to improve the engineering of intelligent systems has been launched since late 1990s. This emergent research field concentrates on studying on quantum computing that is characterized by certain principles of quantum mechanics such as standing waves, interference, quantum bits, coherence, superposition of states, and concept of interference, combined with computational intelligence or soft computing approaches, such as artificial neural networks, fuzzy systems, evolutionary computing, swarm intelligence and hybrid soft computing methods. This volume offers a wide spectrum of research work developed using soft computing combined with quantum computing systems.

Quantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence Book
Author : Siddhartha Bhattacharyya,Ujjwal Maulik,Paramartha Dutta
Publisher : Morgan Kaufmann
Release : 2016-09-20
ISBN : 0128044373
Language : En, Es, Fr & De

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Book Description :

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information. Brings together quantum computing with computational intelligence to achieve enhanced performance and robust solutions Includes numerous case studies, tools, and technologies to apply the concepts to real world practice Provides the missing link between the research and practice

Quantum Inspired Intelligent Systems for Multimedia Data Analysis

Quantum Inspired Intelligent Systems for Multimedia Data Analysis Book
Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
Release : 2018-04-13
ISBN : 1522552200
Language : En, Es, Fr & De

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Book Description :

As multimedia data advances in technology and becomes more complex, the hybridization of soft computing tools allows for more robust and safe solutions in data processing and analysis. Quantum-Inspired Intelligent Systems for Multimedia Data Analysis provides emerging research on techniques used in multimedia information processing using intelligent paradigms including swarm intelligence, neural networks, and deep learning. While highlighting topics such as clustering techniques, neural network architecture, and text data processing, this publication explores the methods and applications of computational intelligent tools. This book is an important resource for academics, computer engineers, IT professionals, students, and researchers seeking current research in the field of multimedia data processing and quantum intelligent systems.

Recent Studies on Computational Intelligence

Recent Studies on Computational Intelligence Book
Author : Ashish Khanna,Awadhesh Kumar Singh,Abhishek Swaroop
Publisher : Springer
Release : 2020-10-17
ISBN : 9789811584688
Language : En, Es, Fr & De

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Book Description :

This book gathers the latest quality research work of Ph.D. students working on the current areas presented in the Doctoral Symposium on Computational Intelligence (DoSCI 2020). The book includes works in the areas of artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making. The book is useful for researchers, students, engineers, practitioners and academicians in their advance studies.

Recent Studies on Computational Intelligence

Recent Studies on Computational Intelligence Book
Author : Ashish Khanna
Publisher : Springer Nature
Release : 2021-06-21
ISBN : 9811584699
Language : En, Es, Fr & De

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Book Description :

Download Recent Studies on Computational Intelligence book written by Ashish Khanna, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Proceedings of Second Doctoral Symposium on Computational Intelligence

Proceedings of Second Doctoral Symposium on Computational Intelligence Book
Author : Deepak Gupta,Ashish Khanna,Vineet Kansal,Giancarlo Fortino,Aboul Ella Hassanien
Publisher : Unknown
Release : 2021-08-28
ISBN : 9789811633454
Language : En, Es, Fr & De

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Book Description :

Download Proceedings of Second Doctoral Symposium on Computational Intelligence book written by Deepak Gupta,Ashish Khanna,Vineet Kansal,Giancarlo Fortino,Aboul Ella Hassanien, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Hybrid Computational Intelligence

Hybrid Computational Intelligence Book
Author : Siddhartha Bhattacharyya,Vaclav Snasel,Deepak Gupta,Ashish Khanna
Publisher : Academic Press
Release : 2020-03-05
ISBN : 012818700X
Language : En, Es, Fr & De

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Book Description :

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Quantum Machine Learning

Quantum Machine Learning Book
Author : Siddhartha Bhattacharyya,Indrajit Pan,Ashish Mani,Sourav De,Elizabeth Behrman,Susanta Chakraborti
Publisher : Walter de Gruyter GmbH & Co KG
Release : 2020-06-08
ISBN : 3110670720
Language : En, Es, Fr & De

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Book Description :

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.

Hybrid Computational Intelligence

Hybrid Computational Intelligence Book
Author : Siddhartha Bhattacharyya,Václav Snášel,Indrajit Pan,Debashis De
Publisher : CRC Press
Release : 2019-10-01
ISBN : 042984266X
Language : En, Es, Fr & De

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Book Description :

Hybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields. The primary objective of this book is to provide an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with supportive case studies. In addition, it aims to provide a gallery of engineering applications where this computing paradigm can be effectively use. Finally, it focuses on the recent quantum inspired hybrid intelligence to develop intelligent solutions for the future. The book also incorporates video demonstrations of each application for better understanding of the subject matter.

Bio Inspired Computational Intelligence and Applications

Bio Inspired Computational Intelligence and Applications Book
Author : Dr. Kang Li,Minrui Fei,George W. Irwin,Shiwei Ma
Publisher : Springer Science & Business Media
Release : 2007-08-28
ISBN : 9783540747680
Language : En, Es, Fr & De

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Book Description :

The two volumes LNCS 4688 and LNBI 4689 constitute the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, in September 2007. The 147 revised full papers were carefully reviewed and selected from 1383 submissions. The 84 papers of LNCS 4688 are organized in topical sections on advanced neural network theory, algorithms and application, advanced evolutionary computing theory, algorithms and application, ant colonies and particle swarm optimization and application, fuzzy, neural, fuzzy-neuro hybrids and application, intelligent modeling, monitoring, and control of complex nonlinear systems, as well as biomedical signal processing, imaging and visualization.

A Framework of Quantum Inspired Multi Objective Evolutionary Algorithms and Its Convergence Properties

A Framework of Quantum Inspired Multi Objective Evolutionary Algorithms and Its Convergence Properties Book
Author : Zhiyong Li,Günter Rudolph
Publisher : Unknown
Release : 2007
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download A Framework of Quantum Inspired Multi Objective Evolutionary Algorithms and Its Convergence Properties book written by Zhiyong Li,Günter Rudolph, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Bio Inspired Computing and Applications

Bio Inspired Computing and Applications Book
Author : De-Shuang Huang,Yong Gan,Prashan Premaratne,Kyungsook Han
Publisher : Springer Science & Business Media
Release : 2012-01-03
ISBN : 3642245528
Language : En, Es, Fr & De

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Book Description :

The three-volume set LNCS 6838, LNAI 6839, and LNBI 6840 constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. This volume contains 93 revised full papers, from a total of 281 presentations at the conference - carefully reviewed and selected from 832 initial submissions. The papers address all issues in Advanced Intelligent Computing, especially Methodologies and Applications, including theories, methodologies, and applications in science and technology. They include a range of techniques such as artificial intelligence, pattern recognition, evolutionary computing, informatics theories and applications, computational neuroscience and bioscience, soft computing, human computer interface issues, etc.

From Quantum Computing to Intelligence

From Quantum Computing to Intelligence Book
Author : Michail Zak
Publisher : Unknown
Release : 2011
ISBN : 9781613248027
Language : En, Es, Fr & De

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Book Description :

This book traces the roots of intelligence down to quantum physics, and in particular, to quantum natural computing. The concept of intelligence is formalized in such a way that it can be referred to both human and robots, and therefore, the book is focused on a phenomenology of intelligent behavior, in general, regardless of its biological or physical origin. The simplest patterns of intelligent behavior, that are generalization and abstraction, can be found in classical recurrent nets that simulate static, periodic and chaotic attractors. However, only introduction of quantum recurrent nets (QRN), quantum resonance (QR) phenomenon, and quantum-inspired (iQ) systems opens up a closer look to phenomenological similarity between quantum algorithms and paradigms of intelligent behavior.

Innovations in Bio Inspired Computing and Applications

Innovations in Bio Inspired Computing and Applications Book
Author : Ajith Abraham,Niketa Gandhi,Millie Pant
Publisher : Springer
Release : 2019-05-21
ISBN : 3030166813
Language : En, Es, Fr & De

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Book Description :

This book highlights recent research on bio-inspired computing and its various innovative applications in Information and Communication Technologies. It presents 50 high-quality papers from the 9th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2018) and 7th World Congress on Information and Communication Technologies (WICT 2018), which was held at Toc H Institute of Science and Technology (TIST) on December 17–19, 2018. IBICA-WICT 2018 was a premier conference and brought together researchers, engineers and practitioners whose work involved bio-inspired computing, computational intelligence and their applications in information security, real-world contexts etc. Including contributions by authors from 22 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Handbook of Research on Swarm Intelligence in Engineering

Handbook of Research on Swarm Intelligence in Engineering Book
Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
Release : 2015-04-30
ISBN : 1466682922
Language : En, Es, Fr & De

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Book Description :

Swarm Intelligence has recently emerged as a next-generation methodology belonging to the class of evolutionary computing. As a result, scientists have been able to explain and understand real-life processes and practices that previously remained unexplored. The Handbook of Research on Swarm Intelligence in Engineering presents the latest research being conducted on diverse topics in intelligence technologies such as Swarm Intelligence, Machine Intelligence, Optical Engineering, and Signal Processing with the goal of advancing knowledge and applications in this rapidly evolving field. The enriched interdisciplinary contents of this book will be a subject of interest to the widest forum of faculties, existing research communities, and new research aspirants from a multitude of disciplines and trades.

Natural Computing in Computational Finance

Natural Computing in Computational Finance Book
Author : Anthony Brabazon,Michael O'Neill
Publisher : Springer
Release : 2008-05-26
ISBN : 3540774777
Language : En, Es, Fr & De

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Book Description :

Natural Computing in Computational Finance is a innovative volume containing fifteen chapters which illustrate cutting-edge applications of natural computing or agent-based modeling in modern computational finance. Following an introductory chapter the book is organized into three sections. The first section deals with optimization applications of natural computing demonstrating the application of a broad range of algorithms including, genetic algorithms, differential evolution, evolution strategies, quantum-inspired evolutionary algorithms and bacterial foraging algorithms to multiple financial applications including portfolio optimization, fund allocation and asset pricing. The second section explores the use of natural computing methodologies such as genetic programming, neural network hybrids and fuzzy-evolutionary hybrids for model induction in order to construct market trading, credit scoring and market prediction systems. The final section illustrates a range of agent-based applications including the modeling of payment card and financial markets. Each chapter provides an introduction to the relevant natural computing methodology as well as providing a clear description of the financial application addressed. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, in the fields of both natural computing and finance.

Nature Inspired Computation

Nature Inspired Computation Book
Author : Mario D'Acunto
Publisher : Unknown
Release : 2015
ISBN : 9781634824767
Language : En, Es, Fr & De

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Book Description :

Nature inspired computation is an old idea, first proposed in the early fifties by Alan Turing, one of the founders of computer science. Turing suggested computational models of pattern formation in living systems based on systems of coupled reaction-diffusion equations giving rise to spatial patterns due to self-organization of substances in chemical concentrations. Since the pioneering work by Turing, many optimization algorithms stimulated by real-world features have gained great popularity and impact, thanks to their efficiency in solving nonlinear design problems. Nature-inspired computation has permeated into almost all areas of sciences, engineering and industries, from data mining to optimization, from computational intelligence to signal processing, from image analysis and vision systems to industrial applications. The book provides an introductory tour of the most popular nature inspired computational strategies. The book is subdivided in two parts, briefly describing the inspiration and motivation of natural processes and phenomena, main players, design principles, the scope of each branch, current trends and open problems. In the first section, attention is focused on Artificial and Spiking Neural Networks (Chapter 2), Evolutionary and Genetic Algorithms (Chapter 3), and Swarm Intelligence algorithms (Chapter 4). In the second section, we present the emergent knowledge and technologies in Multiscale Nature processes (Chapter 5), Quantum Computing and Quantum Cryptography (Chapter 6), Encryption and Secure Communication system (Chapter 7), Image processing and Vision systems (Chapter 8), and finally on Nanophotonics Information (Chapter 9).

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.

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.