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function-dyb

于 2015-01-04 发布 文件大小:11KB
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  用Matlab编程,实现解决该问题的单样本训练BP网络,设置一个停止迭代的误差Emin和最大迭代次数。在调试过程中,通过不断调整隐层节点数,学习率η,找到收敛速度快且误差小的一组参数。产生均匀分布在区间[-4,4]的测试样本,输入建立的模型得到输出,与Hermit多项式的期望输出进行比较计算总误差(运行5次,取平均值)(Using Matlab programming, to solve the problem of single sample training BP network, set a stop error iterations Emin and the maximum number of iterations. In the debugging process, by continuously adjusting the hidden layer nodes, learning rate η, fast convergence and find a set of parameters small errors. Produce a uniform distribution in the interval [4,4] of the test sample, the model has been established input output with the expected output Hermit polynomial calculated by comparing the total error (run 5 times the average))

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