An extended model of the neocognitron for pattern partitioning and pattern composition
Wang · 1989
Two neuron growth rules are proposed: the neuron splitting rule and the neuron formation rule for self-organization of adaptive neural networks. Using these two rules the author extends the model of the neocognitron so that when it is presented with part of a stored pattern or with a composite image consisting of many stored patterns, the pattern will be recognized properly. The extended model does pattern partitioning when it recognizes that the input image is a part of a stored pattern, and pattern composition or association when many stored patterns are presented at the same time. This extended neocognitron is demonstrated by computer simulation. The author suggests that the proposed mechanism is a plausible model for child cognitive development and useful for visual pattern recognition.>