Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) (Advanced Series in Circuits and Systems)

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Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) (Advanced Series in Circuits and Systems) ISBN  9812706240 Release Date  05 April 2007 Category  Neural Network Tags  neural,   9812706240,   "neural networks",   "neural network",   artificial,   This book @Amazon  View Tools Google Search Web flazx.com

Description The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different 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