A hybrid cognitive system using production rules to synthesize neocognitrons.
A hybrid cognitive system is proposed where a working neocognitron is synthesized with a set of production rules. The knowledge base of a neocognitron is constructed through incorporating production rules into its interlayer connections. Training for prototype patterns is not required. The semantic of interlayer connections is established. The resulting network can now be analyzed according to the rule structure and problematic portions can be corrected. Neocognitrons constructed using this hybrid approach have been tested on the same set of handwritten numerals initiated by Fukushima with scaling and skewing distortions, and with noise contamination. It is found that the performance is comparable to that of Fukushima's network obtained by supervised training.
Yeung
D S
DS
Department of Computing, Hong Kong Polytechnic, Hunghom.
Chan
H Y
HY
D003071:Cognition; D006824:Hybridization, Genetic; D008433:Mathematics; D008959:Models, Neurological; D008962:Models, Theoretical; D016571:Neural Networks, Computer