000			01734nam a2200193Ia 4500
005			20250219104920.0
008			230911s9999||||xx |||||||||||||| ||und||
020			_a9788120312531
040			_cNational Institute of Technology Goa
082			_a005.82 _bYEG/ART
100			_aYegnanarayana, B
245		0	_aArtificial neural networks
250			_a1st
260			_aNew Delhi: _b Prentice Hall of India Private limited, _c 2012
300			_a461p.: 6x12x1; Paperback
520			_aAbout 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.
650			_aComputer Science Engineering; Artificial neural networks; Activation and synaptic dynamics; Pattern recognition; Competitive learning neural networks; Complex pattern recognition tasks; Applications of ANN
942			_cBK _2ddc _n0
999			_c4279 _d4279