Comparative analysis of mine water inflow prediction methods
The issue of mine inflow has long plagued mining safety and environmental protection efforts.To effectively address this issue,this article compares and analyzes the application of mathematical models,statistical models,and intelligent prediction models in mine inflow prediction.Mathematical models,such as finite element methods,finite difference methods,and continuous medium mechanics principles,have a clear theoretical foundation and accurate prediction results.However,these methods can be computationally intensive and have high demands for parameters,posing challenges in practical applications.Statistical models,such as multiple linear regression,exponential smoothing,and time series analysis,have relatively simple prediction processes but require a significant amount and quality of samples.When sample sizes are insufficient or quality is low,prediction accuracy may be compromised.By analyzing the principles of these models,comparing their advantages and disadvantages,and evaluating their application effects,this article provides theoretical support and practical guidance for selecting the most suitable inflow prediction model in engineering practice.
mine water inflow predictionMathematical modelStatistical modelIntelligent prediction modelComparative analysis of prediction methods
万方数据
维普
