Journal of Geo-information Science ›› 2019, Vol. 21 ›› Issue (6): 928-936.doi: 10.12082/dqxxkx.2019.190032
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Huihui CAI1,2(), Wei ZHU3,*(
), Zixuan LI4,5, Yuanyuan LIU2, Longbin LI3, Chang LIU2
Received:
2019-01-18
Revised:
2019-04-22
Online:
2019-06-15
Published:
2019-06-15
Contact:
Wei ZHU
E-mail:caihuihui6@126.com;165324824@qq.com
Supported by:
Huihui CAI, Wei ZHU, Zixuan LI, Yuanyuan LIU, Longbin LI, Chang LIU. Prediction Method of Tungsten-molybdenum Prospecting Target Area based on Deep Learning[J].Journal of Geo-information Science, 2019, 21(6): 928-936.DOI:10.12082/dqxxkx.2019.190032
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[1] | 严光生,薛群威,肖克炎,等.地质调查大数据研究的主要问题分析[J].地质通报,2015,34(7):1273-1279. |
[ Yan G S, Xue Q W, Xiao K Y, et al.An analysis of major problems in geological survey big data[J]. Geological Bulletin of China, 2015,34(7):1273-1279. ] | |
[2] | 黄宜华. 大数据机器学习系统研究进展[J].大数据,2015, 1(1): 35-54. |
[ Huang Y H.Research progress on big data machine learning system[J]. Big Data Research, 2015,1(1):35-54. ] | |
[3] | John Zukowsi.Java2从入门到精通[M].北京:电子工业出版社,2000. |
[ John Zukowsi.Java 2: From entry to mastery[M]. Beijing: Electronic Industry Press, 2000. ] | |
[4] | 黄林军,张勇,郭冰榕.机器学习技术在数据挖掘中的商业应用[J].中山大学学报论丛,2005(6):145-148. |
[ Huang L J, Zhang Y, Guo B R.Commercial application of machine learning technology in data mining[J]. Sun Yatsen University Forum, 2005(6):145-148. ] | |
[5] | 阴江宁,肖克炎,何凯涛,等.铜矿数字矿床模型专家系统的原理与技术实现[J].地质论评,2009,55(3):449-456. |
[ Yin J N, Xiao K Y, He K T, et al.Principle and technology realization of copper mine digital deposit model expert system[J]. Geological Review, 2009,55(3):449-456. ] | |
[6] | 于萍萍,陈建平,柴福山,等.基于地质大数据理念的模型驱动矿产资源定量预测[J].地质通报,2015,34(7):1333-1343. |
[ Yu P P, Chen J P, Chai F S, et al.Research on model-driven quantitative prediction and evaluation of mineral resources based on geological big data concept[J]. Geological Bulletin of China, 2015,34(7):1333-1343. ] | |
[7] | 朱月琴,谭永杰,张建通,等.基于Hadoop的地质大数据融合与挖掘技术框架[J].测绘学报,2015,44(S1):152-159. |
[ Zhu Y Q, Tan Y J, Zhang J T, et al.A framework of hadoop based geologhy big data fusion and mining technologies[J]. Acta Geodaetica et Cartographica Sinica, 2015,44(S1):152-159. ] | |
[8] | 王晓. 大数据环境下机器学习算法趋势研究[J].哈尔滨师范大学:自然科学学报,2013,29(4):48-50. |
[ Wang X.Research on trends of machine learning algorithms in big data environments[J]. Natural Sciences Journal of Harbin Normal University, 2013,29(4):48-50. ] | |
[9] | Oliver C, Bemhard S, Alexander Z.Semi-Supervised Learning[J]. The MIT Press, 2006,172(2):530-530. |
[10] | Zhu X J.Semi-Supervised Learning Literature Survey[D]. Madison:Univercity of Wiscomnsin, 2008. |
[11] | Zhou Z H.Ensemble Methods:Foundations and Algorithms Boca Raton[M]. Boca Raton: CRC Press, 2012. |
[12] | 王惠英,孙中平,孙志伟,等.基于深度学习的河道提取与变化监测应用——以永定河为例[J].北京测绘,2019,33(2):173-178. |
[ Wang H Y, Sun Z P, Sun Z W, et al.The Application for extraction of river channels and change detection based on deep learning: A case study from Yongding River[J]. Beijing Surveying and Mapping, 2019.33(2):173-178. ] | |
[13] | Xu Y Y, Xie Z, Wu L, et al.Multilane roads extracted from the Openstreet Map urban road network using random forests,wiley[J].Translation in GIS, 2018. DOI:10.1111/12514. |
[14] | 周龙,韦素媛,崔忠马,等.基于深度学习的复杂背景雷达图像多目标检测[J].系统工程与电子技术,2019,41(6):1258-1264. |
[ Zhou L, Wei S Y, Cui Z M, et al.Multi-objective detection of complex background radar image based on deep learning[J]. Systems Engineering and Electronics, 2019,41(6):1258-1264. ] | |
[15] | Hu B, Xu Y Y, Wan B,et al.Hydrothermally altered mineral mapping using synthetic application of Sentinel-2A MSI, ASTER and Hyperion data in the Duolong area, Tibetan Plateau, China[J]. Ore Geology Reviews, 2018,101:384-397. |
[16] |
王圆圆,李京.基于决策树的高管狗数据特征选择及其对分类结果的影响分析[J].遥感学报,2007,11(1)69-76.
doi: 10.11834/jrs.20070110 |
[ Wang Y Y, Li J.Analysis of Feature Selection and Its Impact on Hyperspectral Data Classification Based on Decision Tree Algorithm[J]. Journal of Remote Sensing, 2007,11(1):69-76. ]
doi: 10.11834/jrs.20070110 |
|
[17] |
陈永良,周斌,李学斌.基于Boltzmann机的矿产靶区预测[J].地球物理学进展,2012,27(1):179-185.
doi: 10.6038/j.issn.1004-2903.2012.01.020 |
[ Chen Y L, Zhou B, Li X B.Mineral target prediction based on Boltzmann machines[J]. Progress in Geophysics, 2012,27(1):179-185. ]
doi: 10.6038/j.issn.1004-2903.2012.01.020 |
|
[18] | Hinton G E, Salakhutdinov R R.Reducing the dimensionality of data with neural networks[J]. Science, 2006,313(5786):504-507. |
[19] | Xu Y, Chen Z, Xie Z, et al.Quality assessment of building footprint data using a deep autoencoder network[J]. International Journal of Geographical Information Science, 2017,31(10):1929-1951. |
[20] | Fiore U, Palmieri F, Castiglione A, et al.Network anomaly detection with the restricted Boltzmann machine[J]. Neurocomputing, 2013,122:13-23. |
[21] | Chen H, Murray A F.Continuous restricted Boltzmann machine with an implementable training algorithm[J]. Vision Image and Signal Processing, IEE Proceedings, 2013,150:153-158. |
[22] | Sun J, et al.Application of deep belief networks for precision mechanism quality inspection[M]. Berlin: Springer, 2014. |
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