Faithin Omaha eBook Collection

This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optim

For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination of the mathematical,

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a