William Paul Cockshott

A Scalable Neural Architecture Combining Unsupervised and Suggestive Learning

Multi-layered perceptions are, in theory, capable of solving a wide range of problems. However, as the scale of many problems is increased, or requirements change, multi-layered perceptrons fail to learn or become impractical to implement. Self-organizing networks are not so limited by scale, but require a-priori information, typically in the form of preset weights or suitable control parameters to achieve a good categorization of a data set.