Neural Networks Rajasekaran Pdf 62

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Neural Networks, Fuzzy Logic and Genetic Algorithms: A Book Review

Neural Networks, Fuzzy Logic and Genetic Algorithms: Synthesis and Applications is a book by S. Rajasekaran and G.A. Vijayalakshmi Pai that provides a comprehensive introduction to soft computing, an evolving branch of computational intelligence. The book covers the theory and applications of neural networks, fuzzy systems and evolutionary algorithms, as well as their hybridization in various domains of science and engineering.

The book is divided into four parts. The first part introduces the basic concepts and principles of soft computing, such as learning, adaptation, optimization, uncertainty and vagueness. The second part deals with neural networks, including their architectures, learning algorithms, applications and limitations. The third part covers fuzzy logic, including its foundations, inference mechanisms, fuzzy control, fuzzy clustering and fuzzy rule-based systems. The fourth part discusses genetic algorithms, including their operators, selection methods, convergence analysis and applications.

The book also presents several hybrid systems that combine neural networks, fuzzy logic and genetic algorithms to achieve better performance and robustness. Some of the hybrid systems discussed are fuzzy backpropagation network, genetic algorithm-based backpropagation network, simplified fuzzy ARTMAP, fuzzy associative memory, fuzzy logic controlled genetic algorithm and evolutionary extreme learning machine. The book illustrates each architecture with examples and applications from various fields such as pattern recognition, image processing, data mining, optimization, control and robotics.

The book is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists who want to apply soft computing technologies to their respective fields of work. The book comes with a CD-ROM that contains the source codes of the algorithms and applications discussed in the book.

The book is available in PDF format for download from this link. The PDF file has 62 pages and a file size of 2.5 MB.Here are a few more paragraphs for the article:

The book is written in a clear and concise manner, with a balance between theory and practice. The book provides numerous examples and exercises to help the readers understand and apply the concepts and techniques of soft computing. The book also provides references to the relevant literature for further reading and research.

The book is suitable for both beginners and advanced learners of soft computing. The book assumes that the readers have some basic knowledge of mathematics, statistics and programming. The book does not require any prior knowledge of neural networks, fuzzy logic or genetic algorithms. The book explains the concepts and algorithms from scratch, with sufficient details and explanations.

The book is a valuable resource for anyone who wants to learn about soft computing and its applications. The book covers the most important and popular topics in soft computing, with a focus on synthesis and applications. The book demonstrates how soft computing can be used to solve complex and real-world problems that are difficult or impossible to solve by conventional methods. 66dfd1ed39

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