Books in the Neural Network Systems Techniques and Applications series

Covers the integration of fuzzy logic and expert systems. This work provides fuzzy system techniques applied to neural networks for modeling and control; systematic design procedures for realizing fuzzy neural systems; techniques for the design of rule-based expert systems; characteristics and relative merits of integrating fuzzy sets; and more.

Presents a reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. This book presents optimization techniques for neural network systems with nonstationary or dynamic inputs. It covers optimization techniques and applications of neural network systems.

Emphasizes the neural network structures used to achieve practical and effective systems. This work is a reference to diverse application methodologies and implementations by means of neural network systems. It features topics such as: quality control techniques; active noise and vibration control; chemical processing systems; and more.

Covers major applications of image processing and pattern recognition, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. This text emphasizes algorithms and architectures for achieving practical and effective systems.