Moreover, a new fast learning method of fuzzy systems both based on genetic algorithms and gradient method is proposed.
实现了一种新的基于遗传算法和梯度下降方法的快速模糊系统学习算法。
In WNN the most fast grads descent methodology was adopted to adjust the network parameters and the learning rate by self adapting learning rate method.
对小波神经网络采用最速梯度下降法优化网络参数，并对学习率采用自适应学习速率方法自动调节。
The results of operation show that this method features fast learning and high accuracy. Different demands on comfortization can be satisfied, the quality of human living environment is improved.
运行结果表明，该方法学习速度快、精度高，可满足不同人的舒适性要求，大大提高人居环境的品质。
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