A novel hybrid neural fuzzy inference system is presented. Only based on the desired input output data pairs, are the knowledge acquisition and initial fuzzy rule sets available.
设计一种新型混合模糊神经推理系统，该系统仅从期望输入输出数据集即可达到获取知识、确定模糊初始规则基的目的。
This paper presents an image segmentation approach which is based on fuzzy-neural-network hybrid system (FNNHS).
本文提出了一种基于模糊-神经网络混合系统(FNNHS)的图象分割方法。
Compensatory fuzzy neural network is a hybrid system which integrates compensation fuzzy logic and neural network.
补偿模糊神经网络是综合补偿模糊逻辑和神经网络的混合系统。
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