1．标准BP 神经网络算法程序： T=1:1:137; %输入样本和目标输出 p=[ 0.32196 0.24591 0.16613 0.088155 0.016496 -0.04695 -0.10237 -0.15076 -0.19321 -0.23058 -0.26353 -0.29257 -0.31803 -0.34018 -0.35918 -0.37519 -0.38828 -0.39853 -0.40598 -0.41068 -0.41266 -0.41198 -0.4087 -0.4029 -0.39469 -0.38422 -0.37166 -0.35725 -0.34126 -0.324 -0.30582 -0.28709 -0.2682 -0.24951 -0.23138 -0.21408 -0.19785 -0.18282 -0.16908 -0.15662 -0.14542 -0.13539 -0.12643 -0.11842 -0.11125 -0.1048 -0.098983 -0.093702 -0.088879 -0.084448 -0.080352 -0.076545 -0.072988 -0.069649 -0.066502 -0.063526 -0.060702 -0.058018 -0.055461 -0.053021 -0.050689 -0.04846 -0.046326 -0.044283 -0.042326 -0.040452 -0.038656 -0.036935 -0.035286 -0.033707 -0.032195 -0.030747 -0.02936 -0.028034 -0.026764 -0.02555 -0.024389 -0.02328 -0.02222 -0.021208 -0.020241 -0.019319 -0.018439 -0.017599 -0.016799 -0.016036 -0.015309 -0.014617 -0.013959 -0.013332 -0.012735 -0.012168 -0.011628 -0.011116 -0.010628 -0.010628 -0.010166 -0.0097265 -0.0093096 -0.0089139 -0.0085385 -0.0081825 -0.0078449 -0.007525 -0.0072219 -0.0069347 -0.0066627 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299 -0.0020299; -0.51781 -0.3674 -0.20883 -0.053316 0.090018 0.21728 0.32875 0.42639 0.51226 0.58808 0.65512 0.7143 0.76629 0.81155 0.85042 0.88311 0.90979 0.93056 0.9455 0.95468 0.95817 0.95606 0.94848 0.93561 0.91766 0.89496 0.86789 0.83691 0.8026 0.76561 0.72666 0.68651 0.64597 0.6058 0.56669 0.52924 0.49392 0.46102 0.43071 0.40302 0.37787 0.35511 0.33453 0.31591 0.29903 0.28366 0.2696 0.25668 0.24474 ...
