改進(jìn)基因表達(dá)式編程在礦山地表變形預(yù)測(cè)中的應(yīng)用研究.pdf

1、學(xué)位論文獨(dú)創(chuàng)性聲明學(xué)位論文獨(dú)創(chuàng)性聲明本人聲明所呈交的論文是本人在導(dǎo)師指導(dǎo)下進(jìn)行的研究工作及取得的研究成果。據(jù)我所知，除了文中特別加以標(biāo)注和致謝的地方外，論文中不包含其他人已經(jīng)發(fā)表或撰寫(xiě)過(guò)的研究成果， 也不包含已獲得江西理工大學(xué)或其他教育機(jī)構(gòu)的學(xué)位或證書(shū)而使用過(guò)的材料。 與我一同工作的同志對(duì)本研究所做的任何貢獻(xiàn)均已在論文中做了明確的說(shuō)明并表示謝意。申請(qǐng)學(xué)位論文與資料若有不實(shí)之處，本人承擔(dān)一切相關(guān)責(zé)任。研究生簽名： 時(shí)間： 年 月 日學(xué)位論

2、文版權(quán)使用授權(quán)書(shū)本人完全了解江西理工大學(xué)關(guān)于收集、保存、使用學(xué)位論文的規(guī)定：即學(xué)校有權(quán)保存按要求提交的學(xué)位論文印刷本和電子版本， 學(xué)校有權(quán)將學(xué)位論文的全部或者部分內(nèi)容編入有關(guān)數(shù)據(jù)庫(kù)進(jìn)行檢索， 并采用影印、 縮印或掃描等復(fù)制手段保存、 匯編以供查閱和借閱； 學(xué)校有權(quán)按有關(guān)規(guī)定向國(guó)家有關(guān)部門(mén)或者機(jī)構(gòu)送交論文的復(fù)印件和電子版。 本人允許本學(xué)位論文被查閱和借閱， 同意學(xué)校向國(guó)家有關(guān)部門(mén)或機(jī)構(gòu)送交論文的復(fù)印件和電子版，并通過(guò)網(wǎng)絡(luò)向社會(huì)公眾提供信息

3、服務(wù)。保密的學(xué)位論文在解密后適用本授權(quán)書(shū)學(xué)位論文作者簽名（手寫(xiě)）： 導(dǎo)師簽名（手寫(xiě)）：簽字日期： 年 月 日 簽字日期： 年 月 日AbstractIIAbstractWith the development of national economic construction, the demand for mineralsis endless, the mine surface deformation is a common phen

4、omenon, due to mineralextraction and the impact of complex geological conditions, making the deformationof the mine surface become more factors, accurately To master the law of surfacedeformation of the mine and to accur

5、ately predict the deformation of the situation, caneffectively avoid the mine due to surface deformation caused by the occurrence ofdisasters. At present, traditional forecasting methods have more or less predictiondefic

6、iencies, and the prediction accuracy is generally low. Therefore, it is of greatsignificance to find an effective prediction method for the accurate, rapid and accurateprediction of the mine surface deformation. This pap

7、er proposes an improvedalgorithm for gene expression programming and applies it to the prediction of surfacedeformation in mines.In this paper, firstly, the research status of mine surface deformation and geneexpression

8、programming is introduced, and the related knowledge about mine surfacedeformation is expounded. Secondly, some shortcomings in the application of geneexpression programming are discussed, and the niche algorithm is impr

9、oved. Then,the denoising program is designed using wavelet denoising principle, and denoisingthe observation data. In addition, the data of surface deformation monitoring of thefirst 19 mines by wavelet denoising are use

10、d as the data samples. According to theimproved gene expression programming The model was developed based on theimproved gene expressions to predict the surface deformation of the mine, and thedata of the last five perio

11、ds were used to predict and analyze. At the same time, thesame data samples were used to build the mine surface prediction model and the graytheory prediction model. Predictive results were compared for accuracy.The resu

12、lts show that the difference between the predicted value and the actualvalue in the use of GEP between 4.9mm to 12.8mm. The difference between thepredicted value and the actual value of GM (1,1) model is more than 13mm.

13、Thepredicted and actual values obtained from the improved GEP surface deformationprediction model differ by only 2.1 mm to 4.5 mm. It can be seen that the predictionmodel of mine surface deformation with improved gene ex