Search Results for: Pattern Recognition And Neural Networks

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

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

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

Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields

Pulse-coupled neural networks; A neural network model for optical flow computation; Temporal pattern matching using an artificial neural network; Patterns of dy