Abstract
In view of the nonlinear characteristics of gas emission in a coal working face, a prediction method is proposed based on cuckoo search algorithm optimized BP neural network (CSBP). In the CSBP algorithm, the cuckoo search is adopted to optimize weight and threshold parameters of BP network, and obtains the global optimal solutions. Furthermore, the twelve main affecting factors of the gas emission in the coal working face are taken as input vectors of CSBP algorithm, the gas emission is acted as output vector, and then the prediction model of BP neural network with optimal parameters is established. The results show that the CSBP algorithm has batter generalization ability and higher prediction accuracy, and can be utilized effectively in the prediction of coal mine gas emission.
Highlights
Gas is one of the major natural disasters of the coal mine safety production, the security problem caused by it account to more than 80% of the coal mine safety in production accidents [1]
Cuckoo Search algorithm is combined with BP neural network to build a cuckoo search algorithm optimized BP neural network (CSBP) prediction model of gas emission, and the experimental data are used to validate the accuracy of the prediction results
According to the actual data of coal mine gas emission in table 1, the first 14 groups as training samples are selected after the normalized processing, the last four groups are taken as the test data, and the prediction model of gas emission is establish based on CSBP algorithm
Summary
Gas is one of the major natural disasters of the coal mine safety production, the security problem caused by it account to more than 80% of the coal mine safety in production accidents [1]. Fu Hua et al [2] used ant colony algorithm (ACO) to optimize the weights and threshold of the Elman neural network, and established the dynamic prediction method of absolute gas emission. Shi liang et al [3] established gas emission prediction model based on the empirical mode decomposition (EMD), support vector machine (SVM) combined with particle swarm optimization algorithm (PSO). According to the natural biological behavior, some bionic algorithms have emerged such as genetic algorithm (GA), particle swarm optimization algorithm, ant colony algorithm, and Cuckoo Search (CS), etc. Cuckoo Search algorithm is combined with BP neural network to build a CSBP prediction model of gas emission, and the experimental data are used to validate the accuracy of the prediction results
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