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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

Computational Intelligence

2005-02-17 Business & Economics
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Release : 2005-02-17
Genre : Business & Economics
Kind : eBook
Book Rating : 193/5 ( reviews)

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Book Synopsis Computational Intelligence by : Mircea Gh. Negoita

Download or read book Computational Intelligence written by Mircea Gh. Negoita. This book was released on 2005-02-17. Available in PDF, EPUB and Kindle. Book 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.

Computationally Intelligent Hybrid Systems

2005-01-21 Computers
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Release : 2005-01-21
Genre : Computers
Kind : eBook
Book Rating : 391/5 ( reviews)

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Book Synopsis Computationally Intelligent Hybrid Systems by : Seppo J. Ovaska

Download or read book Computationally Intelligent Hybrid Systems written by Seppo J. Ovaska. This book was released on 2005-01-21. Available in PDF, EPUB and Kindle. Book excerpt:

Hybrid Intelligent Systems

2012-12-06 Computers
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Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 532/5 ( reviews)

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Book Synopsis Hybrid Intelligent Systems by : Larry R. Medsker

Download or read book Hybrid Intelligent Systems written by Larry R. Medsker. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.

Soft Computing for Hybrid Intelligent Systems

2008-08-25 Computers
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Release : 2008-08-25
Genre : Computers
Kind : eBook
Book Rating : 111/5 ( reviews)

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Book Synopsis Soft Computing for Hybrid Intelligent Systems by : Oscar Castillo

Download or read book Soft Computing for Hybrid Intelligent Systems written by Oscar Castillo. This book was released on 2008-08-25. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

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