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《Journal of Data Acquisition & Processing》 1993-01
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Neural Network Approach for Relation Structure

Wang Jicheng Lu Weixue (Biomedical Engineering Institue, Zhejiang University Hangzhou, 310027)  
In practice neural networks create a new kind of architectures of highly parallel computations. Fuzzy sets of concept and knowledge are considered as a kind of tool for coping with ambiguity in human activity. Especially relational structures play a significant role in building formal relational models of reality. In this paper, we present a new neural network architecture and a new learning algorithm according to the fuzzy set theory. Thus it is easier to realize neural networks using hardware.
【Fund】: 863、国家自然科学基金
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
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