Applications of Neural Networks gives a detailed description of 13
practical applications of neural networks, selected because the
tasks performed by the neural networks are real and significant.
The contributions are from leading researchers in neural networks
and, as a whole, provide a balanced coverage across a range of
application areas and algorithms. The book is divided into three
sections. Section A is an introduction to neural networks for
nonspecialists. Section B looks at examples of applications using
'Supervised Training'. Section C presents a number of examples of
'Unsupervised Training'. For neural network enthusiasts and
interested, open-minded sceptics. The book leads the latter through
the fundamentals into a convincing and varied series of neural
success stories -- described carefully and honestly without
over-claiming. Applications of Neural Networks is essential reading
for all researchers and designers who are tasked with using neural
networks in real life applications.
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