A Homogeneous Hierarchical Scripted Vector Classification Network with Optimisation by Genetic Algorithm
A simulated learning hierarchical architecture for vector classification is presented. The hierarchy used homogeneous scripted classifiers, maintaining similarity tables, and selforganising maps for the input. The scripted classifiers produced output, and guided learning with permutable script in...
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| Language: | en |
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University of Canterbury. Electrical and Computer Engineering
2008
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| Online Access: | http://hdl.handle.net/10092/1191 |