基于人工神经网络和模糊诊断技术的煤矿安全预测系统

提出一种基于人工神经网络和模糊诊断技术的煤矿安全预测系统,并建立了系统的结构图。该系统结合了人工神经网络和模糊诊断技术的优点,其利用人工神经网络解决非线性问题的优势对数据进行处理,利用模糊诊断技术和经验数据做出安全预测,并给出了安全预测系统的运行流程图和各部分的设计方法。根据算例采用MATLAB进行了仿真验证,结果表明,该系统可以实现对敏感数据的提取和处理,可实现对煤矿安全的准确预测。

Coal Mine Safety Prediction System Based on Artificial Neural Network and Fuzzy Diagnosis Technology

This paper proposed a coal mine safety prediction system based on the artificial neural network and fuzzy diagnosis technology and established the structural drawing of the system.This system combined the advantages of the artificial neural network and fuzzy diagnosis technology,utilized the advantages of solving the nonlinear problem by the artificial neural networks for data processing,and used the fuzzy diagnosis technology and empirical data to make safety prediction.The paper also gave the corresponding operation flow chart and the design method of various stages.MATLAB was used for simulation verification according to the example.The results showed that the use of this prediction system can realize the extraction and processing of the sensitive data and the accurate prediction of coal mine safety.