Application Of Hierarchical Networks In Analog Pattern Categorization

Thomas W. Ryan; L. D. Sanders III

doi:10.1117/12.952663

5 April 1989 Application Of Hierarchical Networks In Analog Pattern Categorization

Thomas W. Ryan, L. D. Sanders III

Proceedings Volume 1075, Digital Image Processing Applications; (1989) https://doi.org/10.1117/12.952663
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

Abstract

A neural network architecture is presented in which the strengths of interconnection pathways in one part of the network are modulated by activities in another part of the network. The network is arranged in a series of stages forming a hierarchy. The lower level stages produce output codes that are abstractions of the desired categorization task. Multiple levels of abstraction combine to provide categorization and generalization capabilities that appear to exceed those of standard backpropagation. Empirical results on two-dimensional continuous-valued (analog) simulated feature data are presented.

Citation Download Citation

Thomas W. Ryan and L. D. Sanders III "Application Of Hierarchical Networks In Analog Pattern Categorization", Proc. SPIE 1075, Digital Image Processing Applications, (5 April 1989); https://doi.org/10.1117/12.952663

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