| 引用本文： |
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周永权,何登旭.层次广义同余神经网络结构及运算特性分析[J].广西科学院学报,2000,(S1):156-158. [点击复制]
- Zhou Yongguan,He Dengxu.Computation Performance Analysis and Structure of Hierarchical Generlized Congruent Neural Nnetwork[J].Journal of Guangxi Academy of Sciences,2000,(S1):156-158. [点击复制]
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| 摘要: |
| 提出一种层次广义同余神经网络(HGCNN),以有限环上层次整数余神经网络HGCNN为例,分析了该网络的运算特性。这种运算保持了神经网络的高度并行结构,能够实时完成有限环上的同余运算。给出2个算例。 |
| 关键词: 广义同余神经元 层次广义同余神经网络 整数同余神经网络 运算特性 |
| DOI： |
| 投稿时间：2000-08-23 |
| 基金项目: |
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| Computation Performance Analysis and Structure of Hierarchical Generlized Congruent Neural Nnetwork |
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Zhou Yongguan, He Dengxu
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| (Dept. of Mach. & Comp. Guangxi Univ. for Nationalities, Nanning, 530006) |
| Abstract: |
| A new hierarchical generalized congruent neural network (HGCNN) is presented. Its computation performance is analyzed by the finite rings calculation using hierarchical integer congruent neural network (HICNN). The massively parallel architecture is kept on during computation, and the computation is error-free. TWo samples are given. |
| Key words: generalized congruent neural hierarchical generalized congruent neural network integer congruent neural network computation performance |
