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SEMI OpenIR  > 中国科学院半导体研究所(2009年前)  > 期刊论文

题名: Discussion on the basic mathematical models of neurons - Double synaptic weight neuron in general-purpose neurocomputer, theory and application
作者: Wang SJ (Wang Shoujue);  Chen X (Chen Xu);  Li WJ (Li Weijun)
发表日期: 2006
摘要: Based on the introduction of the traditional mathematical models of neurons in general-purpose neurocomputer, a novel all-purpose mathematical model-Double synaptic weight neuron (DSWN) is presented, which can simulate all kinds of neuron architectures, including Radial-Basis-Function (RBF) and Back-propagation (BP) models, etc. At the same time, this new model is realized using hardware and implemented in the new CASSANN-II neurocomputer that can be used to form various types of neural networks with multiple mathematical models of neurons. In this paper, the flexibility of the new model has also been described in constructing neural networks and based on the theory of Biomimetic pattern recognition (BPR) and high-dimensional space covering, a recognition system of omni directionally oriented rigid objects on the horizontal surface and a face recognition system had been implemented on CASSANN-H neurocomputer. The result showed DSWN neural network has great potential in pattern recognition.
KOS主题词: neural networks
刊名: CHINESE JOURNAL OF ELECTRONICS
专题: 中国科学院半导体研究所(2009年前)_期刊论文

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Wang SJ (Wang Shoujue); Chen X (Chen Xu); Li WJ (Li Weijun) .Discussion on the basic mathematical models of neurons - Double synaptic weight neuron in general-purpose neurocomputer, theory and application ,CHINESE JOURNAL OF ELECTRONICS,2006,15(3):373-377
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