该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
该系统的控制器采用模糊神经网络控制器，它的控制器参数采用模拟退火算法全局优化来对BP算法进行改进的混合方法。
The parameters of the fuzzy neural network controller are optimized by the mixed learning methods with BP algorithm and Simulated Annealing algorithm which improves BP algorithm.
一类多时滞不确定非线性系统，基于模型的模糊控制和神经网络控制相结合的混合控制方法。
A mixed control method combining fuzzy model-based control and neural network control is presented for a class of uncertain nonlinear system with multiple time delays.
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。
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.
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。
This paper presents an image segmentation approach which is based on fuzzy-neural-network hybrid system (FNNHS).
ANFIS设计方法是一种将模糊逻辑系统(FLS)和人工神经网络系统(ann)相结合，利用两者各自的优点所形成的混合智能系统。
The ANFIS design method is a blend intelligent system which combines the Fuzzy Logic system (FLS) and the Annual Neural Network (ANN) and USES their's strongpoints.
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。
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。
Compensatory fuzzy neural network is a hybrid system which integrates compensation fuzzy logic and neural network.
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