Neural Networks, Fuzzy Systems and Evolutionary Algorithms: A Review of Rajasekaran's Book
In this article, I will review the book Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications by S. Rajasekaran and G.A. Vijayalakshmi Pai, published in 2017 by PHI Learning Pvt. Ltd. This book provides a comprehensive introduction to the theory and applications of various artificial intelligence techniques, such as neural networks, fuzzy systems, evolutionary algorithms and hybrid systems.
The book is divided into four parts: Part I covers the basics of neural networks, such as perceptron, backpropagation, radial basis function, recurrent and self-organizing networks. Part II deals with fuzzy systems, such as fuzzy sets, fuzzy logic, fuzzy inference systems and fuzzy control. Part III introduces evolutionary algorithms, such as genetic algorithm, genetic programming, particle swarm optimization and ant colony optimization. Part IV discusses hybrid systems, such as neuro-fuzzy, evolutionary-fuzzy and neuro-evolutionary systems.
The book is well-written and easy to follow, with numerous examples, exercises and case studies. The book also includes MATLAB codes for implementing some of the algorithms. The book is suitable for undergraduate and postgraduate students of computer science, engineering and mathematics who want to learn about artificial intelligence techniques. The book can also be used by researchers and practitioners who want to apply these techniques to solve real-world problems.
One of the strengths of the book is that it covers a wide range of artificial intelligence techniques and shows how they can be integrated to form hybrid systems. The book also provides a balanced treatment of theory and practice, with sufficient mathematical details and practical applications. The book is up-to-date with the latest developments and trends in the field of artificial intelligence.
One of the limitations of the book is that it does not cover some of the recent and advanced topics in artificial intelligence, such as deep learning, reinforcement learning, natural language processing and computer vision. The book also does not provide much discussion on the ethical and social implications of artificial intelligence. The book could be improved by adding more chapters on these topics and incorporating more case studies from diverse domains.In conclusion, the book Neural Networks, Fuzzy Systems and Evolutionary Algorithms: Synthesis and Applications by S. Rajasekaran and G.A. Vijayalakshmi Pai is a valuable resource for anyone who wants to learn about artificial intelligence techniques and their applications. The book provides a comprehensive and accessible introduction to the theory and practice of neural networks, fuzzy systems, evolutionary algorithms and hybrid systems. The book is suitable for students, researchers and practitioners of computer science, engineering and mathematics who are interested in artificial intelligence.
If you are interested in reading this book, you can find it online at https://dl.acm.org/doi/10.5555/3161057. You can also check out the author's website at http://www.sraja.in/ for more information and updates. I hope you enjoyed this article and found it useful. Thank you for reading. 29c81ba772