This manuscr ipt attempts to provide the reader with an insight in arti cial neural networks. Back in 1990, the absence of any state-of-the-art textbook forced us into writing our own. However, in the meantime a number of worthwhile textbooks have b
"Neural Networks Theory is a major contribution to the neural networks literature. It is a treasure trove that should be mined by the thousands of researchers and practitioners worldwide who have not previously had access to the fruits of Soviet and
This is a program for digit image classification using bayes and neural networks and some other algorithms. ADVIce：if you watta see how to program bayes networks, this may be helpful.
The subjects are covered as follows: • Chapter 1 gives you an overview of neural network terminology and nomenclature. You discover that neural nets are capable of solving complex problems with parallel computational architectures. The Hopfield netw
Recurrent Neural Networks: Design and Applications Lakhmi C. Jain Larry Medsker With existent uses ranging from motion detection to music synthesis to financial forecasting, recurrent neural networks have generated widespread attention. The tremendo
