The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology 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.

Pattern recognizers evolve across the sections into perceptrons, a layer of perceptrons, multiple-layered perceptrons, functional link nets, and radial basis fu

A coherent introduction to the basic concepts of pattern recognition, incorporating recent advances from AI, neurobiology, engineering, and other disciplines. T