Fundamentals of Neural Networks

eBook Information

Fundamentals of Neural Networks ISBN  0133341860 Release Date  15 January 1994 Category  Neural Network Tags  neural,   "neural network",   neural networks,   "neural networks",   "fundamentals of neural networks",   fausett,   0133341860,   fundamentals,   laurene,   laurene fausett,   neural computing,   fundamental,   laurene fausett,   artificial neural networks,   aritficial neural,   neural network approach,   rough set theory,   fundamentals of neural networks,   neural n/w,   neural networks: a comprehensive foundation,   neural computation,   image processing and neural network,   neural network,   artificial neural,   network,   This book @Amazon  View Tools Google Search Web flazx.com

Description Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks. Other books on Neural Network Neural Networks Theory Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) (Advanced Series in Circuits and Systems) New Directions in Statistical Signal Processing: From Systems to Brains (Neural Information Processing) Neural Networks in a Softcomputing Framework Artificial Neural Networks in Finance and Manufacturing Artificial Neural Networks in Real-Life Applications Neural Networks in Business Forecasting Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications Guide to Neural Computing Applications (Hodder Arnold Publication) Neural Networks and Pattern Recognition Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering (Computational Intelligence) Neural Networks for Pattern Recognition Pattern Recognition with Neural Networks in C++ Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives