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基于模糊神經(jīng)網(wǎng)絡(luò)和證據(jù)理論的瓦斯突出評(píng)判策略

發(fā)布時(shí)間:2018-01-02 06:25

  本文關(guān)鍵詞:基于模糊神經(jīng)網(wǎng)絡(luò)和證據(jù)理論的瓦斯突出評(píng)判策略 出處:《上海理工大學(xué)學(xué)報(bào)》2016年02期  論文類(lèi)型:期刊論文


  更多相關(guān)文章: 瓦斯突出 危險(xiǎn)等級(jí)評(píng)判 模糊神經(jīng)網(wǎng)絡(luò) 證據(jù)理論


【摘要】:針對(duì)影響煤礦瓦斯突出因素的不確定性和復(fù)雜的非線性關(guān)系,不能夠利用經(jīng)典的數(shù)學(xué)理論建立精確的預(yù)測(cè)模型,將模糊神經(jīng)網(wǎng)絡(luò)和D-S證據(jù)理論有機(jī)結(jié)合,提出了基于模糊神經(jīng)網(wǎng)絡(luò)和D-S證據(jù)理論的煤礦瓦斯突出危險(xiǎn)等級(jí)評(píng)判策略.首先對(duì)傳感器采集的待評(píng)判采掘面參數(shù)進(jìn)行預(yù)處理,使用模糊神經(jīng)網(wǎng)絡(luò)得出第一步的融合結(jié)果,并將其進(jìn)行歸一化處理,歸一化函數(shù)作為基本概率賦值函數(shù),然后將歸一化之后的數(shù)值作為基本概率分配值,再用D-S證據(jù)理論進(jìn)行第二次數(shù)據(jù)融合,作出最終評(píng)判.實(shí)驗(yàn)結(jié)果表明,該方法具有良好的適應(yīng)性并能得到準(zhǔn)確性較高的評(píng)判結(jié)果.
[Abstract]:In view of the uncertainty and complex nonlinear relationship of the factors affecting coal mine gas outburst, it is impossible to establish an accurate prediction model by using classical mathematical theory, and combine fuzzy neural network with D-S evidence theory organically. Based on fuzzy neural network and D-S evidence theory, this paper puts forward the evaluation strategy of coal mine gas outburst risk grade. Firstly, the parameters of mining face to be evaluated by sensors are pretreated. The fusion result of the first step is obtained by using the fuzzy neural network, and it is normalized. The normalized function is regarded as the basic probability assignment function, and then the normalized value is taken as the basic probability assignment value. Then the D-S evidence theory is used for the second data fusion and the final judgment is made. The experimental results show that the method has a good adaptability and can get a higher accuracy.
【作者單位】: 河南理工大學(xué)電氣工程與自動(dòng)化學(xué)院;河南工業(yè)和信息化職業(yè)學(xué)院;
【基金】:河南省科技攻關(guān)計(jì)劃資助項(xiàng)目(102102210203)
【分類(lèi)號(hào)】:TD713;TP183
【正文快照】: 煤炭作為我國(guó)工業(yè)生產(chǎn)的主要能源,當(dāng)前在國(guó)家能源生產(chǎn)和一次消費(fèi)結(jié)構(gòu)中占據(jù)到大約70%,到2050年煤炭的使用率仍然會(huì)占到50%左右.因此,在今后很長(zhǎng)的一段時(shí)間內(nèi),煤炭仍然是我國(guó)能源工業(yè)生產(chǎn)中的主要力量.但是,在煤炭的開(kāi)采過(guò)程中,我國(guó)每年的煤礦瓦斯突出和爆炸事故時(shí)有發(fā)生,不僅

【參考文獻(xiàn)】

相關(guān)期刊論文 前7條

1 王友楠;方祖華;孫,

本文編號(hào):1368067


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