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基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)

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资源介绍:

1.采用鲸鱼算法优化VMD分解层数和惩罚系数的MATLAB代码,目标函数根据样本熵计算。直接运行,可以换数据。 2.核心算法加密,有需要请在CSDN联系作者。
-154.896 -126.825 -68.811 -13.964 26.776 52.832 59.597 79.175 94.003 54.991 70.97 66.507 39.156 41.315 -9.789 -46.785 -118.187 -143.523 -155.76 -127.688 -64.492 -34.981 14.108 42.467 70.97 79.607 68.667 69.818 59.022 54.127 82.054 101.632 60.461 2.735 -64.492 -89.828 -115.74 -112.141 -99.185 -62.621 -33.686 -12.092 5.038 20.874 48.657 78.312 95.154 89.828 117.755 59.022 -3.599 -3.887 -44.77 -54.559 -68.379 -81.479 -71.546 -72.697 -50.24 -4.894 37.86 62.764 49.665 16.699 24.184 13.532 7.486 67.803 135.462 113.725 85.365 -6.046 -86.373 -165.117 -205.424 -188.437 -105.087 -22.313 27.064 66.795 98.321 76.152 25.912 -3.023 48.801 59.885 71.258 97.89 87.237 77.88 -29.799 -77.736 -120.634 -161.374 -128.264 -87.813 -54.271 -21.161 -33.542 9.789 55.855 95.586 96.45 76.584 70.106 66.219 66.795 55.135 60.173 21.737 -60.461 -119.627 -171.739 -174.762 -123.226 -63.484 17.706 58.302 90.404 86.229 73.417 77.448 87.237 72.697 102.64 75.145 35.701 10.653 -83.926 -128.408 -151.297 -156.623 -123.658 -93.139 -8.781 8.061 43.187 74.281 41.027 54.271 67.083 76.728 113.005 155.904 116.028 57.15 -41.171 -148.706 -154.752 -110.846 -77.88 -49.809 -47.505 -28.359 6.046 10.077 22.889 48.657 39.156 41.747 64.924 60.749 89.396 54.271 58.878 -4.894 -78.312 -142.228 -188.869 -115.308 -41.315 10.077 56.862 67.515 69.242 49.233 38.436 32.39 30.806 42.035 82.774 77.736 37.572 -25.48 -122.506 -143.092 -136.901 -87.237 -43.618 -18.714 -12.668 5.47 20.01 38.724 81.335 34.549 99.905 109.55 81.911 54.991 23.609 40.164 -7.486 -43.762 -107.822 -137.765 -122.506 -101.488 -41.747 -15.691 -5.47 18.426 32.678 74.569 81.767 76.152 57.294 99.473 102.208 74.569 29.223 -34.693 -112.429 -148.85 -148.994 -113.725 -79.607 -52.832 -12.236 41.891 61.757 48.513 58.158 59.022 104.511 125.817 98.753 113.725 58.59 -8.493 -78.024 -145.395 -191.46 -173.466 -139.205 -80.039 -31.526 -1.152 12.956 43.474 83.35 96.594 117.036 131.287 128.984 116.172 88.101 20.154 -66.075 -142.372 -168.428 -107.822 -67.659 -39.3 -13.964 -27.208 -10.653 -21.881 -37.284 6.046 32.534 87.957 130.855 144.243 146.546 93.283 52.976 0.432 -45.778 -102.928 -124.377 -146.69 -152.593 -101.92 -63.628 -17.85 18.57 40.451 77.592 63.484 35.125 50.672 46.498 93.571 83.638 72.553 65.212 -6.19 -69.242 -106.671 -102.064 -95.442 -77.016 -43.187 -6.622 47.217 32.102 -7.63 -10.365 30.662 55.423 74.425 104.224 88.532 56.286 1.152 -52.4 -82.342 -102.784 -113.581 -113.005 -72.409 -77.448 -47.937 5.614 73.849 106.815 87.957 101.776 84.358 73.561 59.022 22.169 24.472 -9.789 -73.849 -87.381 -123.226 -154.608 -178.073 -133.303 -48.945 29.079 58.734 119.195 142.084 144.819 157.055 113.437 110.27 95.73 18.714 -25.48 -92.419 -136.614 -192.324 -185.99 -134.598 -87.669 -34.549 16.123 51.536 60.317 66.075 39.3 57.726 97.314 84.79 113.869 150.433 139.637 80.903 -35.557 -103.792 -135.75 -176.489 -155.472 -119.051 -80.615 8.637 0.288 25.912 79.031 85.221 92.851 91.412 95.01 77.592 18.57 -31.958 -46.354 -66.507 -63.916 -66.507 -73.849 -36.709 -48.369 -41.747 8.061 -7.63 10.653 46.21 49.952 96.594 96.306 85.365 109.55 62.908 18.57 -39.588 -102.784 -142.228 -143.235 -137.189 -109.694 -39.156 -8.925 51.104 87.957 67.947 42.611 35.701 75.72 114.157 78.456 79.319 65.212 14.539 -59.454 -125.385 -158.207 -130.136 -113.725 -78.312 -54.991 -83.494 -72.553 -46.785 10.365 83.782 114.588 169.147 188.293 201.825 138.341 67.371 39.012 -11.948 -73.993 -114.157 -144.243 -180.088 -168.572 -98.034 -20.874 36.853 51.104 35.845 23.321 30.087 47.649 58.014 99.761 100.913 84.07 40.164 -12.524 -55.135 -122.938 -119.051 -131.431 -91.987 -47.937 -13.1 13.388 74.281 122.65 102.784 140.068 161.374 114.732 68.091 -15.403 -112.861 -150.289 -119.627 -113.149 -55.279 -46.21 -44.482 -37.14 -8.493 2.591 3.167 -7.63 40.164 70.682 123.37 111.133 112.429 142.804 65.644 13.82 -58.734 -135.03 -162.957 -173.034 -140.788 -91.699 -35.845 -4.607 25.912 72.409 67.803 57.582 63.052 74.281 91.268 84.07 74.281 91.412 33.829 10.653 -30.95 -113.725 -137.765 -160.366 -127.256 -82.918 -43.906 13.82 23.753 1.584 32.39 80.759 137.765 157.199 129.848 145.251 126.393 16.267 -70.826 -139.061 -179.8 -173.61 -144.531 -96.594 -51.104 6.478 28.791 66.219 66.219 16.843 18.138 39.588 69.818 98.465 86.085 115.164 104.08 18.138 -69.242 -164.829 -213.342 -200.674 -140.5 -50.528 18.426 58.302 72.985 60.605 76.008 70.682 56.286 84.358 108.254 96.45 75.289 33.973 -37.284 -156.767 -211.614 -217.516 -136.47 -81.335 -21.305 36.565 80.759 124.089 98.034 104.224 133.303 110.126 94.003 66.651 40.451 -47.073 -111.421 -134.022 -138.197 -121.066 -100.913 -69.962 -18.138 26.92 -1.727 -0.576 32.678 46.21 97.458 120.203 134.886 159.79 77.88 3.455 -25.912 -61.325 -97.458 -104.511 -132.295 -152.88 -125.817 -70.826 6.19 84.07 116.46 105.663 105.807 91.268 64.492 43.474 50.96 70.394 27.208 5.326 -83.35 -134.742 -132.151 -153.168 -103.216 -46.066 -24.328 8.205 12.956 -18.138 -7.918 13.532 65.644 119.051 157.631 165.549 103.648 49.377 -44.338 -127.688 -182.391 -166.412 -97.314 -53.839 8.061 22.889 5.758 19.002 18.57 20.586 52.256 83.062 93.139 102.496 99.329 100.049 65.212 10.509 -49.809 -96.306 -135.894 -165.836 -163.677 -130.999 -73.129 -6.478 18.282 79.751 79.463 86.949 88.676 65.356 86.661 118.763 103.504 69.099 34.693 -76.872 -185.846 -226.298 -217.228 -115.596 -46.929 20.586 50.096 52.256 53.839 73.705 107.535 107.966 153.168 111.565 115.308 83.638 -13.1 -41.891 -98.177 -132.439 -161.662 -168.572 -176.777 -128.264 -61.613 3.599 48.369 107.966 136.757 114.732 109.406 105.087 91.699 70.97 41.027 46.066 0.576 -69.242 -139.061 -179.8 -153.6 -139.061 -69.674 -14.683 14.683 42.179 51.824 112.429 79.607 106.239 118.763 121.93 142.084 52.976 14.683 -80.183 -187.142 -190.453 -205.568 -145.539 -53.695 -22.889 48.225 82.63 97.17 64.636 35.989 -2.015 39.156 91.124 59.597 87.237 85.221 59.597 14.971 -57.006 -99.473 -156.479 -168.716 -159.646 -149.138 -60.317 20.874 73.849 142.66 160.51 155.904 122.506 90.116 69.674 62.333 32.102 -1.584 -28.215 -92.275 -129.272 -145.539 -157.919 -144.819 -100.913 -65.356 -1.008 31.382 31.958 75.145 116.604 152.88 139.493 141.652 106.239 87.093 16.123 -86.805 -132.295 -189.013 -172.89 -140.068 -103.792 -22.457 6.91 10.653 59.741 58.59 67.515 88.532 61.181 89.828 104.08 48.657 28.503 -5.614 -48.225 -73.417 -114.876 -114.588 -105.807 -66.219 -27.351 8.061 67.947 79.175 94.723 79.319 79.031 75.145 32.534 46.354 36.996 13.1 -53.263 -97.458 -128.12 -148.994 -107.679 -87.669 -15.979 32.678 49.665 79.031 98.897 110.989 101.488 59.022 56.862 84.358 45.922 34.405 -2.159 -69.818 -118.763 -127.976 -105.519 -33.398 -18.282 -5.326 -14.108 -49.233 -62.189 -45.058 23.609 88.964 121.066 127.256 97.17 53.119 -12.092 -61.613 -96.162 -103.936 -67.947 -84.502 -35.269 -26.632 -52.256 -37.572 -28.359 48.369 92.131 120.922 150.433 120.778 84.934 63.628 7.486 -16.987 -23.321 -88.245 -102.64 -118.619 -120.059 -126.537 -91.556 -48.513 11.948 44.77 66.507 64.492 70.394 133.015 85.221 110.702 104.511 55.135 23.897 -62.764 -126.969 -175.194 -156.047 -134.742 -88.676 -16.555 21.593 60.893 80.759 97.89 83.206 59.597 117.18 116.46 80.183 111.85

资源文件列表:

基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵).zip 大约有17个文件
  1. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/main.m 899B
  2. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/
  3. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/desktop.ini 46B
  4. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/fig_show.p 275B
  5. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/fig_text.p 284B
  6. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/fprintf_result.p 241B
  7. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/fun.p 291B
  8. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/initialization.p 189B
  9. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/personal_id.mat 68.49KB
  10. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/plot_fft.p 478B
  11. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/SampEn.p 501B
  12. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/toolf/VMD.p 876B
  13. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/WOA_VMD.p 1.55KB
  14. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/齿轮折断状态测试组.txt 697.56KB
  15. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/齿轮折断状态测试组.xlsx 1MB
  16. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/联系作者.jpg 47.72KB
  17. 基于鲸鱼优化算法优化VMD参数试看效果代码(目标函数为样本熵)/使用说明.txt 229B
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