Using gaussian fuzzy membership functions in conjunction with the least - squares principle , a novel approach is developed for intelligent fuzzy modeling and adaptive control strategy of uncertain chaotic system 利用高斯模糊隶属函数和最小二乘法，在无需求解系统不动点的情况下，可将混沌运动镇定到任意指定目标位置。
The other is an improved fuzzy neural network that is joined a compensative operation layer and adopts the improved center - or - gravity defuzzication in feedforward fuzzy neural network based on gaussian fuzzy logical system 其二是改进的补偿模糊神经网络。该网络在基于高斯模糊逻辑系统的前馈模糊神经网络中加入了补偿运算层和采用了改进型中心反模糊化器。
