Underground supply air volume estimation method based on regularization incremental random weight network

Abstract

The invention relates to an underground supply air volume estimation method based on a regularization incremental random weight network, which comprises the following steps: analyzing the switching process of a mine main ventilator to obtain a group of variables influencing the change of the underground supply air volume, and taking the variables as the input of a data-driven underground supply air volume model; setting initialization parameters of the model; establishing a new constraint condition to generate a group of candidate hidden layer nodes according to the characteristics of network residuals in iterative learning; selecting a node with the best quality from the candidate hidden layer nodes as a newly added hidden layer node; introducing 2 norm regularization terms into a quadratic loss function, adopting a global regularization least square method to update the output weight of the whole network, completing the modeling until the set maximum hidden layer node number is reached or acceptable tolerance is met, and obtaining an underground supply air volume estimation model based on the regularization incremental random weight network. According to the method, the estimation precision of the model can be effectively improved, and the problem of overfitting can be avoided.

Description

technical field [0001] The invention relates to the technical field of mine ventilation, in particular to a method for estimating underground air supply volume based on a regularized incremental random weight network. Background technique [0002] The main ventilator switching process is widely used to ensure the continuous safe production of mines. According to the requirements of the "Coal Mine Safety Regulations", the mine adopts the method of "one main and one backup" to operate two main fans in turn. Among them, the running one is called the working fan, and the other is called the standby fan. As the key operating indicator of the main ventilator switching process, the downhole supply air volume has a great influence on downhole operations. Therefore, it is necessary to measure it accurately to ensure the stability and safety of the main ventilator switching process and to provide sufficient underground supply air volume. . However, due to the harsh environment, it ...

AI Technical Summary

Problems solved by technology

However, when there are too many nodes in the hidden layer, the network structure becomes complex, which is prone to overfitting problems, resulting in a decline in generalization performance, which limits the practical application of the model.

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