In the search for even better parsimonious neural network modeling, this paper describes a novel approach which attempts to exploit redundancy found in the conventional sigmoidal networks. A hybrid universal learning network constructed by the combination of proposed multiplication units with summation units is trained for several classification problems. It is clarified that the multiplication units in different layers in the network improve the performance of the network.
|出版ステータス||Published - 2002 1月 1|
|イベント||2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States|
継続期間: 2002 5月 12 → 2002 5月 17
|Conference||2002 International Joint Conference on Neural Networks (IJCNN '02)|
|Period||02/5/12 → 02/5/17|
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