遗传规划在采煤工作面瓦斯涌出量预测中的应用

Application of Genetic Programming to Predicting the Amount of Gas Emitted from Coal Face

采煤工作面瓦斯涌出量的预测对于矿井设计和安全生产有着重要意义．由于影响采煤工作面瓦斯涌出量的各因素之间关系不明确，而遗传规划特别适用于各影响因素之间因果关系不明确的复杂非线性问题，因此，它为预测采煤工作面瓦斯涌出量提供了一条新的技术途径．应用遗传规划理论，建立了采煤工作面瓦斯涌出量的预测模型．结果显示，预测精度满足要求．表明该方法是可行的。

Predicting the amount of gas emitted from coal face is of great importance in the design of mine and production safety. The genetic programming is suitable to optimize the complex and non linear problems with uncertain relationship between cause and result, therefore it offers a new technique to predict the amount of gas emitted from coal face. Using genetic programming theory, a prediction model for the amount of gas emitted from coal face is established. It shows that its precision is well enough to meet the practical use. This method is feasible and reasonable.