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基于复数权神经元的多值整形器稳健设计
引用本文:吕伟锋,林弥.基于复数权神经元的多值整形器稳健设计[J].杭州电子科技大学学报,2008,28(1):20-23.
作者姓名:吕伟锋  林弥
作者单位:杭州电子科技大学电子信息学院,浙江,杭州,310018
基金项目:杭州电子科技大学校科研和教改项目
摘    要:复数权神经元是由于引入多阈值逻辑而使得权值为复数的神经元,被认为具有更强的性能。该文根据该神经元数学模型,结合POST代数系统中多值逻辑取值及运算的概念,实现了基于单个复数权神经元的多值整形运算,设计的多值逻辑整形运算具有稳健性能,所得结果表明用复数权神经元实现多值逻辑的有效性和可行性,说明了其强大的信息处理能力。

关 键 词:复数权值  多值神经元  多值逻辑  稳健神经元
文章编号:1001-9146(2008)01-0020-04
修稿时间:2007年5月24日

Robust Design of Multiple Reshaper Based on Neuron with Complex Valued Weights
LV Wei-feng,LIN Mi.Robust Design of Multiple Reshaper Based on Neuron with Complex Valued Weights[J].Journal of Hangzhou Dianzi University,2008,28(1):20-23.
Authors:LV Wei-feng  LIN Mi
Affiliation:LV Wei-feng; LIN Mi (School of Electronic Information Hangzhou Dianzi University; Hangzhou Zhejiang 310018; China);
Abstract:Neurons with complex-valued weights have stronger capability because of its multi-valued threshold logic.In the paper,a multi-valued reshaper is implemented according to both the neuron's mathematics model and POST algebra system and its operation.More over the designed reshaper has robustness feature.So the result is believed that the validity and possibility with such kind of neurons for multi-valued logic as well as its strong capability for information processing.
Keywords:complex-valued weights  multi-valued neurons  multi-valued logic  robust neurons
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