Feedforward networks with hierarchical structure and local learning

Ernest Robert McCurley; Mark T. Miller

doi:10.1117/12.140096

1 July 1992 Feedforward networks with hierarchical structure and local learning

Ernest Robert McCurley, Mark T. Miller

Proceedings Volume 1710, Science of Artificial Neural Networks; (1992) https://doi.org/10.1117/12.140096
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

A specialized multilayer perceptron architecture called the adaptive neighborhood network is presented. Geometric and statistical information about pattern distributions replace traditional heuristics for network structure and initialization. As a result, adaptive neighborhood networks train quickly and simply, and perform well in certain classification applications.

Citation Download Citation

Ernest Robert McCurley and Mark T. Miller "Feedforward networks with hierarchical structure and local learning", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140096

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