Overview

Neural networks mimic the functioning of the human brain to process data and recognize complex patterns. They serve as the foundation for modern artificial intelligence and machine learning systems. Neural Network Fundamentals introduces the basic principles of artificial neurons, network architectures, and learning algorithms. It covers perceptrons, backpropagation, and multilayer networks, along with optimization techniques. The book includes examples from image recognition, speech processing, and predictive modeling. Designed for both beginners and intermediate learners, it bridges the gap between theory and implementation, emphasizing intuition and computational methods.

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9781779569653

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Author Information

Dharamdas Kumhar is Assistant Professor, Department of Mathematical Sciences and Computer Application, Bundelkhand University, Jhansi, U.P.-India of computer application. He has 22 years of teaching experience in the field of computer application. He has received his Doctor of Philosophy in Computer Science from Bundelkhand University, Jhansi U.P and Master of Philosophy in Computer Science from Madurai Kamaraj University, Madurai T.N. He completed his Master of Computer Application from Institute of Computer Science, Vikram University, Ujjain. He has attended many International Conferences, Seminars, FDPs and Workshops. He has published various research papers in International Journals and International Conferences. His areas of research are computer communication network, machine learning, computer graphics and theory of computation.

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