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- 2017-07-26
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Description: GMDH codeTraining methods
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1. Divide the data set into training sets and test sets.
2. Create an input layer
3. Establish all neurons that meet the conditions of the 5th floor (only consider the "attack" and "by" the relationship, regardless of the specific weight). If there are N neurons in the first few layers, then we need to establish N (N-1) / 2 neurons.
4. Determine the weight using the least squares method
5. Calculate the performance of each neuron on the test set.
6. Select the best performing K neurons on the back. (K can choose their own)
7. Repeat 3, until the network performance is good enough, or the network began to fit.
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GMDH - 副本.txt