The result comparing with the experiment queen experimental group and the collation group is consistent and.
并且与实验后实验组和对照组的比较结果一致。
We get a better result comparing with mean filter, reciprocal gradient filter, linear filter and median filter.
和领域平均法、倒数梯度加权法、纯线性插值法、纯中值滤波法等相比较,其效果改善明显。
Programming which realizes the BP algorithm is put forward finally in the MATLAB environment, and the result comparing to improving method is satisfactory.
探讨了MATLAB环境下实现人工神经网络BP算法的编程方法及方法改进比较的例子,得到了良好的结果。
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