说明: 案例1 BP神经网络的数据分类-语音特征信号分类;案例2 BP神经网络的非线性系统建模-非线性函数拟合;案例3 遗传算法优化BP神经网络-非线性函数拟合;案例4 神经网络遗传算法函数极值寻优-非线性函数极值;案例5 基于BP_Adaboost的强分类器设计-公司财务预警建模(Case 1: data classification of BP neural network speech feature signal classification; case 2: nonlinear system modeling of BP neural network nonlinear function fitting; case 3: BP neural network optimized by genetic algorithm nonlinear function fitting; case 4: function extremum optimization of neural network genetic algorithm nonlinear function extremum; case 5: Based on BP neural network_ AdaBoost's strong classifier design corporate financial early warning modeling)