Recent advances in artificial neural networks : design & applications

Neural networks represent a new generation of information processing paradigms designed to mimic, in a very limited sense, the human brain. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form, until now. This book collects the latest neural network paradigms and reports on their promising new applications.

An introduction to neural networks. A new neural network for cluster detection and labelling. Rotation invariant neural pattern recognition system. Quantum neural networks and their applications in pattern classification. New supervised neural networks and their applications in classification. A multistage neural network in color induction. A new neural network with multi-neurons and applications. Fuzzy kohonen network for process supervision. New recurrent neural network for pattern recognition. A new self-organizing network for efficient hardware implementation.