基于属性抽取和整合的感觉神经检测模型
A MATHEMATICAL MODEL OF SENSATION NEURON DETECTION BASED ON ATTRIBUTIVE ABSTRACTION AND INTEGRATION
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摘要: 本文提出了一个基于属性抽取和整合的感觉神经检测模型.它能为空间频率分析器理论和特征提取理论,以及为并行网络机制和串行符号机制提供一个统一的框架,并可看作是人工神经网络模型的一个属性语义推广Abstract: A mathematical model of sensation neuron detection, which is based on attributive abstraction and integration, is presented in this paper. It is shown that both spatial frequency analysis theory and feature abstraction theory can be uniformed in this model, and it is not only an attributive semantic extension of artificial neural networks, but also an integration of symbol mechanism and network mechanism.
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