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Hybrid Computational Intelligence

2020-03-05 Computers
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Release : 2020-03-05
Genre : Computers
Kind : eBook
Book Rating : 00X/5 ( reviews)

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Book Synopsis Hybrid Computational Intelligence by : Siddhartha Bhattacharyya

Download or read book Hybrid Computational Intelligence written by Siddhartha Bhattacharyya. This book was released on 2020-03-05. Available in PDF, EPUB and Kindle. Book 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

Hybrid Computational Intelligence

2020-03-06
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Release : 2020-03-06
Genre :
Kind : eBook
Book Rating : 992/5 ( reviews)

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Book Synopsis Hybrid Computational Intelligence by : Siddhartha Bhattacharyya

Download or read book Hybrid Computational Intelligence written by Siddhartha Bhattacharyya. This book was released on 2020-03-06. Available in PDF, EPUB and Kindle. Book 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.

Tree-Structure based Hybrid Computational Intelligence

2009-11-27 Computers
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Release : 2009-11-27
Genre : Computers
Kind : eBook
Book Rating : 394/5 ( reviews)

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Book Synopsis Tree-Structure based Hybrid Computational Intelligence by : Yuehui Chen

Download or read book Tree-Structure based Hybrid Computational Intelligence written by Yuehui Chen. This book was released on 2009-11-27. Available in PDF, EPUB and Kindle. Book 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.

Illustrated Computational Intelligence

2020-11-16 Technology & Engineering
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Release : 2020-11-16
Genre : Technology & Engineering
Kind : eBook
Book Rating : 895/5 ( reviews)

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Book Synopsis Illustrated Computational Intelligence by : Priti Srinivas Sajja

Download or read book Illustrated Computational Intelligence written by Priti Srinivas Sajja. This book was released on 2020-11-16. Available in PDF, EPUB and Kindle. Book 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.

Artificial Intelligence Systems Based on Hybrid Neural Networks

2020-09-03 Technology & Engineering
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Release : 2020-09-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 53X/5 ( reviews)

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Book Synopsis Artificial Intelligence Systems Based on Hybrid Neural Networks by : Michael Zgurovsky

Download or read book Artificial Intelligence Systems Based on Hybrid Neural Networks written by Michael Zgurovsky. This book was released on 2020-09-03. Available in PDF, EPUB and Kindle. Book 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.

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