Artificial neural networks
- 1st
- New Delhi: Prentice Hall of India Private limited, 2012
- 461p.: 6x12x1; Paperback
About the book: Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate and senior undergraduate levels in any branch of engineering, this self-contained and well-organized book highlights the need for new models of computing based on the fundamental principles of neural networks.
Professor Yegnanarayana compresses, into the covers of a single volume, his several years of rich experience, in teaching and research in the areas of speech processing, image processing, artificial intelligence and neural networks. He gives a masterly analysis of such topics as Basics of artificial neural networks, Functional units of artificial neural networks for pattern recognition tasks, Feedforward and Feedback neural networks, and Archi-tectures for complex pattern recognition tasks. Throughout, the emphasis is on the pattern processing feature of the neural networks. Besides, the presentation of real-world applications provides a practical thrust to the discussion.
9788120312531
Computer Science Engineering; Artificial neural networks; Activation and synaptic dynamics; Pattern recognition; Competitive learning neural networks; Complex pattern recognition tasks; Applications of ANN