Neural Networks in a Softcomputing Framework

Book Details

• Binding: Paperback

• Number of Pages: 566

• ISBN: 9788181289537

• Languages: English

• Dimensions: 9.3 x 6.1 x 1.2 inches

About The Book

Neural Networks in a Softcomputing Framework offers an in-depth exploration of neural-network methodologies and their applications in computational intelligence. This comprehensive textbook presents a thorough review of the most popular neural network methods, providing a model-free, adaptive, parallel-processing solution to the computationally expensive and expert-dependent conventional model-based data processing methods.

The book covers a wide range of topics, from fuzzy logic and evolutionary algorithms to array signal processing problems, offering readers a complete understanding of the integration of various techniques in neural-network learning. With clear and concise descriptions, it addresses state-of-the-art research results in each method, showcasing the advances in neural networks and how they can be applied to pattern recognition, signal processing, speech and image processing, data analysis, and artificial intelligence.

Ideal for advanced undergraduate and postgraduate students, as well as researchers, Neural Networks in a Softcomputing Framework not only provides a solid foundation in the field but also highlights the latest advances in neural-network models. The systematic survey of each model and an exhaustive list of references make it an invaluable resource for those looking to explore new topics for future research.

This book is a valuable reference for scientists and practitioners working in various fields of computational intelligence, offering key algorithms and insights into neural networks' real-world applications.