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标题: 神经网路 空间映射 问题 [打印本页]
作者: 樱风西日 时间: 2013-11-23 16:21
标题: 神经网路 空间映射 问题
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% L& O5 y2 z) V9 f( X: K问题一：将神经网路训练完成之后 ，得到Sf与Sc之间的映射，即精细模型到粗模型之间的映射关系，即Xf到Xc的关系，即Xc=P（Xf），那么将粗模型最优值Xc*作为输入进行预测，为什么能得到下一次精细模型的解呢？
我的理解应该是Xf=P-1(P的逆)（Xc*），类似于原始空间映射的方法。然而，难道这里是神经网络逆向预测吗？如果是，是怎么做的，能给些思路吗？
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神经网络空间映射的问题.doc
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作者: AuCu 时间: 2013-11-24 00:37
如何学习神经网络
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作者: lvjianchi 时间: 2013-12-22 22:37
我得理解神经网络就是一种映射，有输入神经网络就会有输出，只不过得到的结果或许会偏差很大
作者: 小野兽 时间: 2014-1-24 17:04
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作者: 小野兽 时间: 2014-1-24 17:04
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作者: 小野兽 时间: 2014-1-24 17:06
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作者: 小野兽 时间: 2014-1-24 17:07
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作者: 小野兽 时间: 2014-1-24 17:07
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作者: 小野兽 时间: 2014-1-24 17:07
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作者: 小野兽 时间: 2014-1-24 17:07
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作者: 小野兽 时间: 2014-1-24 17:07
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作者: 小野兽 时间: 2014-1-24 17:07
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作者: 小野兽 时间: 2014-1-24 17:08
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作者: 小野兽 时间: 2014-1-24 17:08
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作者: 小野兽 时间: 2014-1-24 17:08
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作者: 小野兽 时间: 2014-1-24 17:08
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作者: 小野兽 时间: 2014-1-24 17:08
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