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.

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

With the growing complexity of pattern recognition related problems being solved using Artificial Neural Networks, many ANN researchers are grappling with desig