摘要
以实验数据为基础,分析网络参数对Modular预报30 Mnsi金属塑性变形抗力结果的影响,找出最佳网络参数,提高预报准确性。同时指出,在采用模糊神经网络进行预报时,分析网络参数对预报精度影响的必要性。
On the basis of test data,the essy analyses the influence of network parameters on the results and metal -plastic deformation resistance of 30MnSi steel was predicted by Modular algorithm with the optimum network parameters and the predicted accuracy. Meanwhile, the paper reveals that it is necessary to analyse the influence of network parameters on the result predicted,when adopting the fuzzy neural network.
出处
《河北理工学院学报》
2004年第1期36-39,共4页
Journal of Hebei Institute of Technology
