Knowledge-Based Neurocomputing (MIT Press)

Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. The focus is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.