Description: This procedure uses GMDH network traffic flow prediction, the input data for the continuous n days of M group traffic data.
The output data are forecast data for the n+1 day traffic of the m group.
Each neuron has a learning style of Widrow-Hoff
In the course of the study, each layer chooses 15 outstanding neurons to hold to the next level
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anymin
anymin\.idea
anymin\.idea\misc.xml
anymin\.idea\modules.xml
anymin\.idea\pycharmcode.iml
anymin\.idea\workspace.xml
anymin\allcoefficient.csv
anymin\allcoefficient.txt
anymin\ann.py
anymin\data.csv
anymin\data.txt
anymin\data1.csv
anymin\dataout.csv
anymin\data_oneyear.csv
anymin\data_oneyear.xlsx
anymin\function.py
anymin\out1.png
anymin\out2.png
anymin\out3.png
anymin\out4.png
anymin\textoutput.csv
anymin\textoutput.txt
anymin\trainoutput.csv
anymin\trainoutput.txt
anymin\__pycache__
anymin\__pycache__\function.cpython-36.pyc
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