要求做一个grnn神经网络分析预测，以下是我的数据，刚接触MATLAB，求高人帮我写下程序，我的程序老错。。十分感谢！
p=[11807713 12880708 41.667 52.778 24.361 29.854 34.591 10.971 42.271 47.722 47.016 2973.224;
  12228102 12846814 50 52.778 39.551 37.19 38.055 14.02 37.66 47.157 47.056 2959.926;
  11854914 12786842 41.667 50 39.415 37.13 38.025 16.566 34.314 43.65 46.083 2948.224;
  12314325 12758076 41.667 47.222 57.144 46.647 42.76 26.163 26.452 31.336 41.869 2888.679;
  13168917 12774067 41.667 44.444 71.43 56.804 48.595 39.772 19.554 32.12 39.084 2888.679;
  13825075 12796288 50 44.444 72.833 57.933 49.292 38.058 17.672 33.394 37.458 2898.719;
  14382738 12852164 50 45.833 73.733 58.618 49.705 34.628 17.519 33.227 36.249 2908.157;
  13847969 12873156 50 45.833 56.065 51.378 46.565 30.4 19.291 30.122 34.499 2917.029;
  14472995 12901769 50 47.222 66.304 57.438 50.045 29.602 16.241 29.842 33.168 2928.357;
  15040661 12963669 58.333 50 67.476 58.171 50.479 30.046 14.555 31.24 32.617 2942.643;
  15845302 13039573 66.667 54.167 78.78 66.26 55.611 38.072 11.724 37.432 33.993 2964.475;
  16522935 13156693 75 58.333 78.844 66.311 55.645 36.679 10.954 42.167 36.328 2987.443;
  15907377 13239424 75 62.500 74.330 64.507 54.892 32.697 15.604 40.231 37.443 3007.195;
  15189273 13311326 66.667 65.278 67.942 61.989 53.851 36.002 13.812 41.463 38.592 3028.46;
  15702099 13412642 75 69.444 69.879 62.972 54.413 32.571 14.871 40.276 39.073 3046.322;
  16181306 13544192 75 72.222 71.008 63.525 54.723 28.999 15.485 37.449        38.609 3061.326;
  15610226 13668275 66.667 72.222 43.603 51.749 49.796 23.912 22.217 27.799 35.52 3138.394;
  16151370 13797154 66.667 70.833 59.885 59.013        53.615 25.695 18.847 24.249 32.3 3136.722;
  16754519 13933329 66.667 69.444 62.393 60.27 54.313 28.433 16.915 24.578 30.094 3135.083;
  17370022 14107571 75 70.833 65.93 62.026 55.285 26.898 15.137 25.549 28.795 3133.478;
  16763109 14248550 66.667 69.444 62.551 60.626 54.704 27.107 13.914 27.439 28.408 3097.34;
  16229222 14359450 58.333 66.667 49.308 54.742 52.204 23.954 20.892 21.55 26.448 3137.92;
  15788039 14441335 50 63.889 47.737 54.001 51.883 20.179 23.062 17.297 23.834 3135.277;
  15347192 14524365 41.667 59.722 35.401 47.597 49.021 17.45 24.426 17.115 21.914 3130.655;
  15719764 14605747 50 56.944 40.441 49.384 49.809 15.987 22.378 16.985 20.506 3126.311;
  15047954 14677521 50 52.778 19.682 34.801 42.146 11.112 43.705 29.12 22.967 3112.917;
  15483109 14745131 50 50 24.126 36.739 43.016 10.337 41.037 37.874 27.226 3097.386;
  15966965 14843674 50 48.611 34.368 41.218 45.043 15.201 34.862 38.274 30.383 3079.882;
  15485575 14939878 50 48.611 30.187 38.665 43.657 13.252 30.393 38.56 32.719 3064.478;
  15022593 15034377 41.667 48.611 28.256 37.479 43.011 14.79 26.123 35.457 33.501 3048.183;
  15361462 15152836 41.667 47.222 31.577 38.774 43.562 13.336 23.554 33.24 33.427 3034.168;
  14971679 15244288 33.333 44.444 26.092 35.719        41.96 11.051 31.139 37.347 34.547 3015.743;
  14584995 15335287 33.333 41.667 25.713 35.503        41.846 12.713 27.278 37.082 35.271 3000.266;
  14914852 15421978 41.667 40.278 30.105 37 42.433 15.765 24.662 32.775 34.558 2987.265];
t=[2874.899;
   2909.069;
   2908.579;
   2957.629;
   3027.469;
   3036.489;
   3041.729;
   3000.169;
   3044.09;
   3049.75;
   3121.979;
   3122.5;
   3113.71;
   3101.68;
   3109.18;
   3113.21;
   3056.91;
   3106.25;
   3115.75;
   3128.89;
   3122.6;
   3095.13;
   3091.57;
   3059.14;
   3067.99;
   2968.29;
   2977.77;
   3000.05;
   2981;
   2972.08;
   2977.72;
   2956.38;
   2954.87;
   2960.31];