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本文提出一种基于遗传算法和监督学习方法的有效模糊神经网络控制．这种控制器采用并行处理的模糊推理网络，具有两个重要特点：自适应和学习性．所提方法经过仿真实验和温控验证表明控制性能良好
In this paper, an effective fuzzy neural network control based on genetic algorithm and supervised learning method is proposed. This controller uses a parallel processing of fuzzy inference network, has two important characteristics: adaptive and learning. The proposed method through simulation and temperature control verify that the control performance is good