基于神经元的动态系统模糊关系模型及其学习算法

A Neuron-Inspired Fuzzy Relation Model of Dynamic System And Its Learning Algorithms

本文直接针对模糊集，提出了三种基于模糊集运算的逻辑神经元，即ＡＮＤ．ＯＲ和ＡＮＤ／ＤＲ．基于上述神经元，提出了一种应用于动态系统建模的实用的模糊关系网络模型，通过一个简单实例，证实了上述模型建模算法的学习能力和快速计算能力。

In view of fuzzy sets and their operations,three kinds of logical neurons,i,e.,AND,OR and AND/OR neurons can be chassified into two types:weighted and relational.Using AND,OR and AND/OR neurons,a fuzzy relational model for dynamic system modeling is provided as well as its learning algorithms.By a simple example,the soundness and learning capability of the algorithms are verified.