Bipin Kumar Tripathi Knihy

Focusing on intelligent computing, this book delves into high-dimensional neurocomputing, addressing key issues like signal representation and neuron dimensionality. It emphasizes the clarity of its underlying theory, which unifies high-dimensional computing where traditional methods fall short. The text includes numerous application-oriented problems aimed at evaluating and maintaining adaptive learning machines. With comprehensive coverage, it serves as a valuable resource for advanced undergraduates, engineers, scientists, and researchers in computational intelligence.

The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computational intelligence.