摘要: 该文首先提出了一种使用GA、模糊推理及BP算法相结合训练前向多层神经网络的方法,并重点讨论了实现步骤,然后结合一个实例,给出了实验结果,实验结果表明了这一方法的最有效的特性是BP训练过程的快速收敛。
关键词:
遗传算法,
模糊推理,
BP算法,
神经网络
Abstract: The method and procedure about applying combination of genetic algorithm, fuzzy inference and BP(Back Propagati6n)algorithm to train feedforward neural network are stressly studied first. Then, an example is given to show the most effective property of the method, that is, the fast convergence of BP training process.
中图分类号:
武妍,施鸿宝. 一种遗传算法、模糊推理和BP算法相结合训练前向神经网络的方法[J]. , 1997, 23(S1): 264-267.
Wu Yan Shi Hongbao. A Method of Training Multilayer Neural Network Based on Combination of Genetic Algorithm,Fuzzy Inference and BP Algorithm[J]. , 1997, 23(S1): 264-267.