一种训练神经网络的模糊控制方法

A FUZZY CONTROLLING METHOD FOR NEURAL NETWORK TRAINING

提出一种训练神经网络的模糊控制方法，该方法根据样本的分布及网络对该样本的识别率制定模糊规则，以此规则控制网络的训练参数、调整学习率．利用此方法训练出的神经网络收敛快、识别率高．当样本不均衡时，这种方法的优点尤为显著．

A fuzzy controlling method was proposed. It controls the training parameters according to the property of training samples, i.e.adjusts the study rate with fuzzy rules. The fuzzy rules are determined by the distribution of the training set and the important level of each kind of samples. The classification rate can be improved in this way and the fast convergence property can be achieved.