因素空间理论与知识表示的数学框架（X）──基于因素空间的神经元模型

Factor Spaces and Mathematical Frame of Knowledge Representation (X)──Neuron Models Based on Factor Spaces

本文是文［１—９］的继续，该文及后续论文仍将系统地研究因素空间理论及其在知识表示中的应用。该文研究基于因素空间的神经元模型：首先讨论了因素空间的神经元机理，然后讨论了几种典型的神经元模型；特别提出了基于Ｗｅｂｅｒ—Ｆｅｃｈｎｅｒ法则的神经元模型以及基于变权的神经元模型。

This paper is the tenth of a series of papers of discussing in detail factor spaces and knowledge representation based,on factor spaces. This paper focuses on neuron models hased on factor spaces. Firstly, neuron mechanism of factor spaces is shown. Then several neuron models are discussed. Especially the models based on Webor-Fechner's law and variable weights are proposed.