-

此为bp神经网络算法

che1
6.4479	17.875	24.925	26.324	52.825	35.417	52.013
6.5748	17.99	28.637	26.831	54.77	36.756	54.592
6.3533	15.964	24.787	24.793	49.924	33.025	49.597

che2
6.3806	14.07	24.463	24.929	49.74	31.972	51.98
6.7335	17.653	26.721	26.545	54.826	36.172	53.261
6.4121	14.065	26.306	24.966	51.032	31.998	51.087


test
6.5386	18.26	27.842	28.003	58.226	37.378	55.951
6.5226	17.2	27.324	30.425	61.694	42.122	59.334
6.5226	16.447	27.226	27.338	54.934	35.612	54.897


struct                           //训练样本对 共有6组
	{
		double input[InputN];
		double teach[OutN];
	}data[9] = {{6.4479, 17.875, 24.925, 26.324, 52.825, 35.417, 52.013, 0.8, 0.05, 0.15},
		        {6.5748, 17.99, 28.637, 26.831, 54.77, 36.756, 54.592, 0.8, 0.05, 0.15}, 
	            {6.3533, 15.964, 24.787, 24.793, 49.924, 33.025, 49.597, 0.8, 0.05, 0.15},
				{6.3806, 14.07, 24.463, 24.929, 49.74, 31.972, 51.98, 0.05, 0.8, 0.15},
				{6.7335, 17.653, 26.721, 26.545, 54.826, 36.172, 53.261, 0.05, 0.8, 0.15},
				{6.4121, 14.065, 26.306, 24.966, 51.032, 31.998, 51.087, 0.05, 0.8, 0.15},
				{6.5386, 18.26, 27.842, 28.003, 58.226, 37.378, 55.951},
				{6.5226, 17.2, 27.324, 30.425, 61.694, 42.122, 59.334},
				{6.5226, 16.447, 27.226, 27.338, 54.934, 35.612, 54.897}};//注意这里的值需要改变