This book presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models, in a language that is

Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Par

This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as

The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data