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Fukushima, Kunihiko
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Neocognitron capable of incremental learning
Fukushima K. Neural Networks 17(1): 37-46, 2004. Type: Article
The learning algorithms within neocognitron are discussed in this paper. Neocognitron is a neural network model that has two distinctive types of cells: S-cells and C-cells. The prime use of this type of neural network i...
...
Apr 22 2004
A Neural Network for Visual Pattern Recognition
Fukushima K. Computer 21(3): 65-75, 1988. Type: Article
This paper proposes a neural network model that has the following properties and abilities: pattern recognition, selective attention, segmentation, and associative recall. This network of neuron-like analog cells has a hierarchical mul...
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Aug 1 1989
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