Neural Networks, creating and training
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Why does a Matlab neural network store example data? That is, if I create a neural network using newpr or newff, it requires representative input and target vectors, why are those stored to net.inputs?
I'm creating a neural network that better fits my workflow (define the architecture at creation and provide training data only at training time) and I want to make sure I completely understand the purpose of providing representative vectors to the newpr and newff functions.
Thanks!
回答（1 个）
Ram
2011-1-27
0 个投票
I donno if you know about the nntool option..Its a GUI for developing neural networks.. It requires you to define the architecture first and u can provide the training data during training..
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