Hybrid Computational Intelligence Book

Hybrid Computational Intelligence


  • Author : Siddhartha Bhattacharyya
  • Publisher : Academic Press
  • Release Date : 2020-03-05
  • Genre: Computers
  • Pages : 250
  • ISBN 10 : 9780128187005

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Hybrid Computational Intelligence Excerpt :

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

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

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


  • Author : Almunawar, Mohammad Nabil
  • Publisher : IGI Global
  • Release Date : 2020-08-28
  • Genre: Business & Economics
  • Pages : 738
  • ISBN 10 : 9781799849858

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

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.

Artificial Intelligence Systems Based on Hybrid Neural Networks Book

Artificial Intelligence Systems Based on Hybrid Neural Networks


  • Author : Michael Zgurovsky
  • Publisher : Springer Nature
  • Release Date : 2020-09-03
  • Genre: Technology & Engineering
  • Pages : 512
  • ISBN 10 : 9783030484538

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Artificial Intelligence Systems Based on Hybrid Neural Networks Excerpt :

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.

Tree Structure based Hybrid Computational Intelligence Book

Tree Structure based Hybrid Computational Intelligence


  • Author : Yuehui Chen
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-11-27
  • Genre: Computers
  • Pages : 206
  • ISBN 10 : 9783642047398

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Tree Structure based Hybrid Computational Intelligence Excerpt :

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.

Hybrid Computational Intelligence Book

Hybrid Computational Intelligence


  • Author : Siddhartha Bhattacharyya
  • Publisher : Academic Press
  • Release Date : 2020-03-06
  • Genre: Uncategoriezed
  • Pages : 252
  • ISBN 10 : 9780128186992

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Hybrid Computational Intelligence Excerpt :

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.

Hybrid Metaheuristics Book

Hybrid Metaheuristics


  • Author : Christian Blum
  • Publisher : Springer
  • Release Date : 2008-06-24
  • Genre: Technology & Engineering
  • Pages : 290
  • ISBN 10 : 9783540782957

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Hybrid Metaheuristics Excerpt :

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.

Computational Intelligence for Information Retrieval Book

Computational Intelligence for Information Retrieval


  • Author : Dharmender Saini
  • Publisher : CRC Press
  • Release Date : 2021-12-15
  • Genre: Technology & Engineering
  • Pages : 292
  • ISBN 10 : 9781000484724

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Computational Intelligence for Information Retrieval Excerpt :

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.

Computational Intelligence Book

Computational Intelligence


  • Author : Mircea Gh. Negoita
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-02-17
  • Genre: Business & Economics
  • Pages : 213
  • ISBN 10 : 3540232192

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Computational Intelligence Excerpt :

Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence.

Hybrid Metaheuristics Book

Hybrid Metaheuristics


  • Author : El-ghazali Talbi
  • Publisher : Springer
  • Release Date : 2012-07-31
  • Genre: Technology & Engineering
  • Pages : 458
  • ISBN 10 : 9783642306716

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Hybrid Metaheuristics Excerpt :

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.

Illustrated Computational Intelligence Book

Illustrated Computational Intelligence


  • Author : Priti Srinivas Sajja
  • Publisher : Springer Nature
  • Release Date : 2020-11-16
  • Genre: Technology & Engineering
  • Pages : 225
  • ISBN 10 : 9789811595899

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Illustrated Computational Intelligence Excerpt :

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.

Hybrid Computational Intelligence Book

Hybrid Computational Intelligence


  • Author : Siddhartha Bhattacharyya
  • Publisher : CRC Press
  • Release Date : 2019-10-01
  • Genre: Computers
  • Pages : 220
  • ISBN 10 : 9780429842665

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Hybrid Computational Intelligence Excerpt :

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.

Proceedings of Second Doctoral Symposium on Computational Intelligence Book

Proceedings of Second Doctoral Symposium on Computational Intelligence


  • Author : Deepak Gupta
  • Publisher : Springer Nature
  • Release Date : 2021-10-21
  • Genre: Technology & Engineering
  • Pages : 923
  • ISBN 10 : 9789811633461

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Proceedings of Second Doctoral Symposium on Computational Intelligence Excerpt :

This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, 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.

Trends in Deep Learning Methodologies Book

Trends in Deep Learning Methodologies


  • Author : Vincenzo Piuri
  • Publisher : Academic Press
  • Release Date : 2020-11-30
  • Genre: Computers
  • Pages : 306
  • ISBN 10 : 9780128222263

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Trends in Deep Learning Methodologies Excerpt :

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

Computational Intelligence Book

Computational Intelligence


  • Author : Russell C. Eberhart
  • Publisher : Elsevier
  • Release Date : 2011-04-18
  • Genre: Computers
  • Pages : 496
  • ISBN 10 : 9780080553832

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Computational Intelligence Excerpt :

Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications. This book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems. Moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the authors' methodologies Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation Details the metrics and analytical tools needed to as

Towards Hybrid and Adaptive Computing Book

Towards Hybrid and Adaptive Computing


  • Author : Anupam Shukla
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-08-17
  • Genre: Computers
  • Pages : 460
  • ISBN 10 : 9783642143434

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Towards Hybrid and Adaptive Computing Excerpt :

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.