{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:16Z","timestamp":1750220836765,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,9,20]],"date-time":"2019-09-20T00:00:00Z","timestamp":1568937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,9,20]]},"DOI":"10.1145\/3366194.3366261","type":"proceedings-article","created":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T13:56:52Z","timestamp":1574258212000},"page":"379-383","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Application of FOA-RF model in prediction of coal and gas outburst intensity"],"prefix":"10.1145","author":[{"given":"Long","family":"Nengzeng","sequence":"first","affiliation":[{"name":"Mining College of Guizhou University, Guiyang, China"}]},{"given":"Yuan","family":"Mei","sequence":"additional","affiliation":[{"name":"Mining College of Guizhou University, Guiyang, China and Guizhou Key Laboratory of Comprehensive Utilization of Non-metallic Mineral Resources, Guiyang, China"}]},{"given":"Wang","family":"Guanliang","sequence":"additional","affiliation":[{"name":"Mine rescue brigade, Guizhou ShuiCheng mining co, LTD, Liupanshui, China"}]}],"member":"320","published-online":{"date-parts":[[2019,9,20]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"investigation report on coal mine safety production in guizhou [R]. Guizhou: guizhou coal mine safety supervision bureau","author":"Guizhou","year":"2019","unstructured":"Guizhou coal safety supervision letter [2019]27 , investigation report on coal mine safety production in guizhou [R]. Guizhou: guizhou coal mine safety supervision bureau , 2019 . Guizhou coal safety supervision letter [2019]27, investigation report on coal mine safety production in guizhou [R]. Guizhou: guizhou coal mine safety supervision bureau, 2019."},{"key":"e_1_3_2_1_2_1","volume-title":"Research and application of multi-index coupling prediction model of coal and gas outburst [J]. Journal of engineering science","author":"Zhang Youyi","year":"2008","unstructured":"Youyi Zhang , Yinlei Zhang , Xiangdong Jiao . Research and application of multi-index coupling prediction model of coal and gas outburst [J]. Journal of engineering science , 2008 , 40(11):1309--1316. Youyi Zhang, Yinlei Zhang, Xiangdong Jiao. Research and application of multi-index coupling prediction model of coal and gas outburst [J]. Journal of engineering science, 2008, 40(11):1309--1316."},{"key":"e_1_3_2_1_3_1","volume-title":"Study on PCA-BP neural network prediction model for coal and gas outburst [J]. Computer engineering and application","author":"Xu Xinzheng","year":"2011","unstructured":"Xinzheng Xu , Shifei Ding , Shengqiang Yang , Study on PCA-BP neural network prediction model for coal and gas outburst [J]. Computer engineering and application , 2011 , 47(28):219--222. Xinzheng Xu, Shifei Ding, Shengqiang Yang, et al. Study on PCA-BP neural network prediction model for coal and gas outburst [J]. Computer engineering and application, 2011, 47(28):219--222."},{"key":"e_1_3_2_1_4_1","volume-title":"Prediction of coal and gas outburst based on PCA-BP neural network [J]. Chinese journal of safety science","author":"Zhu Zhijie","year":"2013","unstructured":"Zhijie Zhu , Hongwei Zhang , Jun Han , Prediction of coal and gas outburst based on PCA-BP neural network [J]. Chinese journal of safety science , 2013 , 23(04):45--50. Zhijie Zhu, Hongwei Zhang, Jun Han, et al. Prediction of coal and gas outburst based on PCA-BP neural network [J]. Chinese journal of safety science, 2013, 23(04):45--50."},{"key":"e_1_3_2_1_5_1","volume-title":"NN-SVM model for prediction of coal and gas outburst [J]. Journal of sensing technology","author":"Xie Guomin","year":"2016","unstructured":"Guomin Xie , Hong Xie , Hua Fu . NN-SVM model for prediction of coal and gas outburst [J]. Journal of sensing technology , 2016 , 29(05):733--738. Guomin Xie, Hong Xie, Hua Fu. NN-SVM model for prediction of coal and gas outburst [J]. Journal of sensing technology, 2016, 29(05):733--738."},{"key":"e_1_3_2_1_6_1","volume-title":"QGA-LSSVM model for coal and gas outburst prediction [J]. China safety production science and technology","author":"Wen Tingxin","year":"2015","unstructured":"Tingxin Wen , Hongjuan Sun , Bo Zhang , QGA-LSSVM model for coal and gas outburst prediction [J]. China safety production science and technology , 2015 , 11(05):5--12. Tingxin Wen, Hongjuan Sun, Bo Zhang, et al. QGA-LSSVM model for coal and gas outburst prediction [J]. China safety production science and technology, 2015, 11(05):5--12."},{"key":"e_1_3_2_1_7_1","first-page":"91","volume":"2008","author":"Yu Xiuwu","unstructured":"Xiuwu Yu , Qin Liu , Xiangyang Li , BP neural network and WSN data fusion algorithm based on improved ant colony [J]. Journal of Beijing university of posts and telecommunications , 2008 , 41(04): 91 -- 96 . Xiuwu Yu, Qin Liu, Xiangyang Li, et al. BP neural network and WSN data fusion algorithm based on improved ant colony [J]. Journal of Beijing university of posts and telecommunications, 2008, 41(04):91--96.","journal-title":"Journal of Beijing university of posts and telecommunications"},{"issue":"01","key":"e_1_3_2_1_8_1","first-page":"94","volume":"2015","author":"Cui Jianguo","unstructured":"Jianguo Cui , Xue Yan , Xueping Pu , Aircraft engine fault diagnosis based on dynamic PCA and improved SVM [J]. Vibration. Test and diagnosis , 2015 ( 01 ): 94 -- 99 +190. Jianguo Cui, Xue Yan, Xueping Pu, et al. Aircraft engine fault diagnosis based on dynamic PCA and improved SVM [J]. Vibration. Test and diagnosis, 2015(01):94--99+190.","journal-title":"Vibration. Test and diagnosis"},{"key":"e_1_3_2_1_9_1","volume-title":"Grey neural network deformation prediction based on improved fruit fly algorithm [J]. Science of surveying and mapping","author":"Yang Fan","year":"2014","unstructured":"Fan Yang , Xiaobing Wang , Yang Shao . Grey neural network deformation prediction based on improved fruit fly algorithm [J]. Science of surveying and mapping , 2014 , 43(02):63--69. Fan Yang, Xiaobing Wang, Yang Shao. Grey neural network deformation prediction based on improved fruit fly algorithm [J]. Science of surveying and mapping, 2014, 43(02):63--69."},{"key":"e_1_3_2_1_10_1","volume-title":"Soft measurement of grinding grain size based on improved drosophila optimized BP neural network [J]. Instrumentation technology and sensor","author":"Yang Gang","year":"2018","unstructured":"Gang Yang , Jianmin Wang . Soft measurement of grinding grain size based on improved drosophila optimized BP neural network [J]. Instrumentation technology and sensor , 2018 (08):12 Gang Yang, Jianmin Wang. Soft measurement of grinding grain size based on improved drosophila optimized BP neural network [J]. Instrumentation technology and sensor, 2018(08):12"},{"key":"e_1_3_2_1_11_1","volume-title":"Application of robust noise-tolerant random forest algorithm in seismic reservoir prediction [J]. Petroleum geophysical exploration","author":"Song Jianguo","year":"2008","unstructured":"Jianguo Song , Lu Yang , Qiangshan Gao , Jiong Liu . Application of robust noise-tolerant random forest algorithm in seismic reservoir prediction [J]. Petroleum geophysical exploration , 2008 , 53(05):954--960+881. Jianguo Song, Lu Yang, Qiangshan Gao, Jiong Liu. Application of robust noise-tolerant random forest algorithm in seismic reservoir prediction [J]. Petroleum geophysical exploration, 2008, 53(05):954--960+881."},{"key":"e_1_3_2_1_12_1","volume-title":"Research on wind farm output prediction based on random forest algorithm [D]. Changsha university of science and technology","author":"Liao Yaohua","year":"2016","unstructured":"Yaohua Liao . Research on wind farm output prediction based on random forest algorithm [D]. Changsha university of science and technology , 2016 . Yaohua Liao. Research on wind farm output prediction based on random forest algorithm [D]. Changsha university of science and technology, 2016."},{"key":"e_1_3_2_1_13_1","volume-title":"Soft measurement of coal and gas outburst based on PCA and PSO-ELM [J]. Journal of sensing technology","author":"Fu Hua","year":"2014","unstructured":"Hua Fu , Xinrui Wang , Zhijun Wang . Soft measurement of coal and gas outburst based on PCA and PSO-ELM [J]. Journal of sensing technology , 2014 . Hua Fu, Xinrui Wang, Zhijun Wang. Soft measurement of coal and gas outburst based on PCA and PSO-ELM [J]. Journal of sensing technology, 2014."},{"volume-title":"Coal and Gas Outburst Mine Appraisal Specification [S]","year":"2006","key":"e_1_3_2_1_14_1","unstructured":"Aq1024-2006 , Coal and Gas Outburst Mine Appraisal Specification [S] . Beijing : state administration of work safety, 2006 .. Aq1024-2006, Coal and Gas Outburst Mine Appraisal Specification [S]. Beijing: state administration of work safety, 2006.."}],"event":{"name":"RICAI 2019: 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","acronym":"RICAI 2019","location":"Shanghai China"},"container-title":["Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3366194.3366261","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3366194.3366261","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:41Z","timestamp":1750202021000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3366194.3366261"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,20]]},"references-count":14,"alternative-id":["10.1145\/3366194.3366261","10.1145\/3366194"],"URL":"https:\/\/doi.org\/10.1145\/3366194.3366261","relation":{},"subject":[],"published":{"date-parts":[[2019,9,20]]},"assertion":[{"value":"2019-09-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}