3 Review(s)

Fundamentals of Neural Networks is a comprehensive book for postgraduate researchers. The book explains how Neural Networks can be used to tackle advanced real world problems. It discusses all major neural networks, explaining how their architectures differ. The book also presents algorithms which can be adapted into programs to implement neural networks into one's own programs. The book is an indispensable resource for all programmers and students trying to implement neural networks into their own work. About Laurene Fausett Lauren V. Fausett is a mathematician and academician working as a Professor of Mathematics at the University of South Carolina Aiken. She has also worked for many government funded projects such as underground coal gasification, constrained layer damping, analysis of the O-rings on the space shuttles after the Challenger disaster, and applications of artificial neural networks. A graduate of the University of California Berkeley, California, Dr. Fausett pursued her Master's and doctoral degrees at the University of Wyoming Laramie, Wyoming. She has also written: Instructor's Manual for Fundamentals of Neural Networks, Sample Solutions and Software, Applied Numerical Analysis using Matlab, and Numerical Analysis with Applications and Algorithms.