传感技术学报
傳感技術學報
전감기술학보
Journal of Transduction Technology
2014年
2期
262-266
,共5页
付华%李文娟%孟祥云%王桂花%王灿祥
付華%李文娟%孟祥雲%王桂花%王燦祥
부화%리문연%맹상운%왕계화%왕찬상
瓦斯浓度预测%无线传感网络%DFNN网络%IGA算法%小波分析
瓦斯濃度預測%無線傳感網絡%DFNN網絡%IGA算法%小波分析
와사농도예측%무선전감망락%DFNN망락%IGA산법%소파분석
gas concentration%predicting wireless sensor networks%DFNN network%IGA algorithm%wavelet analysis
为了准确预测采煤工作面的瓦斯浓度,提出免疫遗传算法优化的动态模糊神经网络瓦斯浓度动态预测方法。用无线传感网络系统采集工作面瓦斯浓度数据作为样本,通过小波分析对样本数据进行降噪滤波预处理。采用IGA算法对DFNN网络参数进行优化,建立了瓦斯浓度的预测模型。通过MATLAB仿真研究表明,所建模型对采煤工作面的瓦斯浓度演变趋势预测合理,并且经过IGA算法优化DFNN网络比单纯的DFNN网络具有更快、更准确的预测功能,可以为防治煤矿瓦斯积聚提供更好的理论支持。
為瞭準確預測採煤工作麵的瓦斯濃度,提齣免疫遺傳算法優化的動態模糊神經網絡瓦斯濃度動態預測方法。用無線傳感網絡繫統採集工作麵瓦斯濃度數據作為樣本,通過小波分析對樣本數據進行降譟濾波預處理。採用IGA算法對DFNN網絡參數進行優化,建立瞭瓦斯濃度的預測模型。通過MATLAB倣真研究錶明,所建模型對採煤工作麵的瓦斯濃度縯變趨勢預測閤理,併且經過IGA算法優化DFNN網絡比單純的DFNN網絡具有更快、更準確的預測功能,可以為防治煤礦瓦斯積聚提供更好的理論支持。
위료준학예측채매공작면적와사농도,제출면역유전산법우화적동태모호신경망락와사농도동태예측방법。용무선전감망락계통채집공작면와사농도수거작위양본,통과소파분석대양본수거진행강조려파예처리。채용IGA산법대DFNN망락삼수진행우화,건립료와사농도적예측모형。통과MATLAB방진연구표명,소건모형대채매공작면적와사농도연변추세예측합리,병차경과IGA산법우화DFNN망락비단순적DFNN망락구유경쾌、경준학적예측공능,가이위방치매광와사적취제공경호적이론지지。
A method with Dynamic Fuzzy Neural Network Optimized by Immune Genetic Algorithm ( IGA-DFNN ) was proposed for predicting gas concentration in order to predict coal face gas concentration accurately. The simple of gas concentration is collected by wireless sensor networks,and is filtered and denoising through wavelet analysis before predicting. Then the prediction model sets up which use IGA algorithm to optimize the parameters of the DFNN network. The simulation of the MATLAB shows that the DFNN network optimized by IGA algorithm has faster and more accurate effect in predicting the gas concentration than simple DFNN network. It can provide better theoretical support for the prevention and control of gas accumulation in coal mine.