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Hybrid Computational Intelligence

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Hybrid Computational Intelligence

Hybrid Computational Intelligence Book
Author : Siddhartha Bhattacharyya,Václav Snášel,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

Hybrid Computational Intelligence

Hybrid Computational Intelligence Book
Author : Siddhartha Bhattacharyya,Václav Snásel,Ashish Khanna,Deepak Gupta
Publisher : Academic Press
Release : 2020-03-06
ISBN : 0128186992
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.

Tree Structure based Hybrid Computational Intelligence

Tree Structure based Hybrid Computational Intelligence Book
Author : Yuehui Chen,Ajith Abraham
Publisher : Springer Science & Business Media
Release : 2009-11-27
ISBN : 3642047394
Language : En, Es, Fr & De

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Book Description :

Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved. This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable.

Artificial Intelligence Systems Based on Hybrid Neural Networks

Artificial Intelligence Systems Based on Hybrid Neural Networks Book
Author : Michael Zgurovsky,Victor Sineglazov,Elena Chumachenko
Publisher : Springer Nature
Release : 2020-09-03
ISBN : 303048453X
Language : En, Es, Fr & De

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Book Description :

This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.

Hybrid Artificial Intelligence and IoT in Healthcare

Hybrid Artificial Intelligence and IoT in Healthcare Book
Author : Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque
Publisher : Springer Nature
Release : 2021-07-22
ISBN : 9811629722
Language : En, Es, Fr & De

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Book Description :

This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

Hybrid Metaheuristics

Hybrid Metaheuristics Book
Author : El-ghazali Talbi
Publisher : Springer
Release : 2012-07-31
ISBN : 3642306713
Language : En, Es, Fr & De

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Book Description :

The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.

Trends in Deep Learning Methodologies

Trends in Deep Learning Methodologies Book
Author : Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
Publisher : Academic Press
Release : 2020-11-12
ISBN : 0128232684
Language : En, Es, Fr & De

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Book Description :

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. Provides insights into the theory, algorithms, implementation and the application of deep learning techniques Covers a wide range of applications of deep learning across smart healthcare and smart engineering Investigates the development of new models and how they can be exploited to find appropriate solutions

Handbook of Research on Innovation and Development of E Commerce and E Business in ASEAN

Handbook of Research on Innovation and Development of E Commerce and E Business in ASEAN Book
Author : Almunawar, Mohammad Nabil,Anshari Ali, Muhammad,Ariff Lim, Syamimi
Publisher : IGI Global
Release : 2020-08-28
ISBN : 1799849856
Language : En, Es, Fr & De

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Book Description :

Business-to-consumer (B2C) and consumer-to-consumer (C2C) e-commerce transactions, including social commerce, are rapidly expanding, although e-commerce is still small when compared to traditional business transactions. As the familiarity of making purchases using smart devices continues to expand, many global and regional investors hope to target the ASEAN region to tap into the rising digital market in this region. The Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN is an essential reference source that discusses economics, marketing strategies, and mobile payment systems, as well as digital marketplaces, communication technologies, and social technologies utilized for business purposes. Featuring research on topics such as business culture, mobile technology, and consumer satisfaction, this book is ideally designed for policymakers, financial managers, business professionals, academicians, students, and researchers.

Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Hybrid Intelligent Techniques for Pattern Analysis and Understanding Book
Author : Siddhartha Bhattacharyya,Anirban Mukherjee,Indrajit Pan,Paramartha Dutta,Arup Kumar Bhaumik
Publisher : CRC Press
Release : 2017-10-30
ISBN : 1351650203
Language : En, Es, Fr & De

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Book Description :

Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

Towards Hybrid and Adaptive Computing

Towards Hybrid and Adaptive Computing Book
Author : Anupam Shukla,Ritu Tiwari,Rahul Kala
Publisher : Springer Science & Business Media
Release : 2010-08-17
ISBN : 3642143431
Language : En, Es, Fr & De

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Book Description :

Soft Computing today is a very vast field whose extent is beyond measure. This book offers a well structured presentation of the basic concepts of Artificial Neural Networks, Fuzzy Inference Systems and Evolutionary Algorithms.

Agent Based Hybrid Intelligent Systems

Agent Based Hybrid Intelligent Systems Book
Author : Zili Zhang (Ph.D.),Chengqi Zhang
Publisher : Springer Science & Business Media
Release : 2004-01-28
ISBN : 3540209085
Language : En, Es, Fr & De

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Book Description :

Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.

Hybrid Metaheuristics

Hybrid Metaheuristics Book
Author : Christian Blum,Andrea Roli,Michael Sampels
Publisher : Springer
Release : 2008-06-24
ISBN : 3540782958
Language : En, Es, Fr & De

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Book Description :

Optimization problems are of great importance across a broad range of fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments. The authors involved in this book are among the top researchers in their domain.

Illustrated Computational Intelligence

Illustrated Computational Intelligence Book
Author : Priti Srinivas Sajja
Publisher : Springer Nature
Release : 2020-11-16
ISBN : 9811595895
Language : En, Es, Fr & De

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Book Description :

This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.

Computational Intelligence for Information Retrieval

Computational Intelligence for Information Retrieval Book
Author : Dharmender Saini,Gopal Chaudhary,Vedika Gupta
Publisher : CRC Press
Release : 2021-12-15
ISBN : 1000484726
Language : En, Es, Fr & De

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Book Description :

This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms. The book aims to investigate how computational intelligence frameworks are going to improve information retrieval systems. The emerging and promising state-of-the-art of human–computer interaction is the motivation behind this book. The book covers a wide range of topics, starting from the tools and languages of artificial intelligence to its philosophical implications, and thus provides a plethora of theoretical as well as experimental research, along with surveys and impact studies. Further, the book aims to showcase the basics of information retrieval and computational intelligence for beginners, as well as their integration, and challenge discussions for existing practitioners, including using hybrid application of augmented reality, computational intelligence techniques for recommendation systems in big data, and a fuzzy-based approach for characterization and identification of sentiments.

Hybrid Intelligent Systems

Hybrid Intelligent Systems Book
Author : Ajith Abraham,Thomas Hanne,Oscar Castillo,Niketa Gandhi,Tatiane Nogueira Rios,Tzung-Pei Hong
Publisher : Springer Nature
Release : 2021-04-16
ISBN : 3030730506
Language : En, Es, Fr & De

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Book Description :

This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.

Hybrid Artificial Intelligence Systems

Hybrid Artificial Intelligence Systems Book
Author : Marios Polycarpou,André C.P.L.F. de Carvalho,Jeng-Shyang Pan,Michał Woźniak,Héctor Quintián,Emilio Corchado
Publisher : Springer
Release : 2014-05-21
ISBN : 3319076175
Language : En, Es, Fr & De

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Book Description :

This volume constitutes the proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2014, held in Salamanca, Spain, in June 2014. The 61 papers published in this volume were carefully reviewed and selected from 199 submissions. They are organized in topical sessions on HAIS applications; data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning algorithms; hybrid intelligent systems for data mining and applications and classification and cluster analysis.

Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms Theory and Applications

Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms  Theory and Applications Book
Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Release : 2021-03-24
ISBN : 3030687767
Language : En, Es, Fr & De

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Book Description :

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.

Intelligent Control

Intelligent Control Book
Author : Nazmul Siddique
Publisher : Springer
Release : 2013-11-29
ISBN : 3319021354
Language : En, Es, Fr & De

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Book Description :

Intelligent Control considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type fuzzy controller thus improving the performance of the controller compared with a PID-type fuzzy controller. The advantage of the switching-type fuzzy controller is that it uses one rule-base thus minimises the rule-base during execution. A single rule-base is developed by merging the membership functions for change of error of the PD-type controller and sum of error of the PI-type controller. Membership functions are then optimized using evolutionary algorithms. Since the two fuzzy controllers were executed in series, necessary further tuning of the differential and integral scaling factors of the controller is then performed. Neural-network-based tuning for the scaling parameters of the fuzzy controller is then described and finally an evolutionary algorithm is applied to the neurally-tuned-fuzzy controller in which the sigmoidal function shape of the neural network is determined. The important issue of stability is addressed and the text demonstrates empirically that the developed controller was stable within the operating range. The text concludes with ideas for future research to show the reader the potential for further study in this area. Intelligent Control will be of interest to researchers from engineering and computer science backgrounds working in the intelligent and adaptive control.

Hybrid Artificial Intelligence Systems

Hybrid Artificial Intelligence Systems Book
Author : Emilio Corchado,Xindong Wu,Erkki Oja,Bruno Baruque
Publisher : Springer
Release : 2009-06-22
ISBN : 3642023193
Language : En, Es, Fr & De

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Book Description :

The 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), as the name suggests, attracted researchers who are involved in developing and applying symbolic and sub-symbolic techniques aimed at the construction of highly robust and reliable problem-solving techniques, and bringing the most relevant achievements in this field. Hybrid intelligent systems have become increasingly po- lar given their capabilities to handle a broad spectrum of real-world complex problems which come with inherent imprecision, uncertainty and vagueness, hi- dimensionality, and nonstationarity. These systems provide us with the opportunity to exploit existing domain knowledge as well as raw data to come up with promising solutions in an effective manner. Being truly multidisciplinary, the series of HAIS conferences offers an interesting research forum to present and discuss the latest th- retical advances and real-world applications in this exciting research field. This volume of Lecture Notes in Artificial Intelligence (LNAI) includes accepted papers presented at HAIS 2009 held at the University of Salamanca, Salamanca, Spain, June 2009. Since its inception, the main aim of the HAIS conferences has been to establish a broad and interdisciplinary forum for hybrid artificial intelligence systems and asso- ated learning paradigms, which are playing increasingly important roles in a large number of application areas.

Handbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics

Handbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics Book
Author : Tan, Joseph
Publisher : IGI Global
Release : 2018-05-11
ISBN : 1522554610
Language : En, Es, Fr & De

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Book Description :

Over the decades, the fields of health information systems and informatics have seen rapid growth. Such integrative efforts within the two disciplines have resulted in emerging innovations within the realm of medicine and healthcare. The Handbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics provides emerging research on the innovative practices of information systems and informatic software in providing efficient, safe, and impactful healthcare systems. While highlighting topics such as conceptual modeling, surveillance data, and decision support systems, this handbook explores the applications and advancements in technological adoption and application of information technology in health institutions. This publication is a vital resource for hospital administrators, healthcare professionals, researchers, and practitioners seeking current research on health information systems in the digital era.