Gas concentration prediction method based on adaptive modularization neural network
A technology of gas concentration and neural network, which is applied in the field of gas concentration prediction based on adaptive modular neural network, can solve problems such as poor accuracy and extrapolation ability, weak robustness, and long learning time of prediction model
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[0103] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0104] The gas concentration sensor is used to collect the gas data of the actual mining face of a coal mine, and use it as the prediction object to predict the gas concentration of the mine, such as figure 1 As shown, the specific method is as follows.
[0105] Step 1. Place the gas concentration wireless monitoring sensor in front of the coal wall, mining equipment and operators, and collect gas concentration data in different areas of the mine through the gas concentration sensor to truly reflect the gas at the front of the working face during the continuous movement of the excavator. The most real situation of the gushing amount, and set up a mobile base station 50-10...
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