The compensation fuzzy neural network (CFNN) with fast learning algorithm and compensation fuzzy inference is introduced in this paper.
本文介绍了一种具有快速学习算法、能够执行补偿模糊推理的补偿模糊神经网络。
In the fast decoupled load flow problem, the coefficient matrix is constant. According to this property, a fuzzy inference method is applied to solve the load flow problem.
根据快速解耦潮流方程中系数矩阵是常数矩阵的特点，抽象出模糊命题，提出采用模糊推理的方法求解潮流问题。
The main motivation of knowledge compilation is putting the main expense on the off-line stage, using for numerous Effective off-line query to offset, and generate a fast online inference system.
知识编译的主要动机是将主要花销放在离线阶段，用无数次的有效在线查询抵消，并生成一个快捷的在线推理系统。
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