{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T03:31:34Z","timestamp":1768015894732,"version":"3.49.0"},"reference-count":16,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:p> The study on the prediction of mine pressure, while exploiting in coal mine, is a critical and technical guarantee for coal mine safety and production. In this paper, primarily due to the actual demand for the prediction of mine pressure, a practical prediction model Mine Pressure Prediction (MPP) was proposed based on fuzzy cognitive maps (FCMs). The Real Coded Genetic Algorithm (RCGA) was proposed to solve the problem by introducing the weight regularization and dropout regularization. A numerical example involving in-situ monitoring data is studied. Mean Square Error (MSE) and fitness function were used to evaluate the applicability of MPP model which is trained by RCGA, Regularization Genetic Algorithm (RGA) and Weight and Dropout RGA optimization algorithms. The numerical results demonstrate that the proposed Weight and Dropout RGA is better than the other two algorithms, and realizing the requirement for prediction of mine pressure in the coal mine production. <\/jats:p>","DOI":"10.1142\/s1469026820500236","type":"journal-article","created":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T09:08:34Z","timestamp":1596704914000},"source":"Crossref","is-referenced-by-count":4,"title":["Mine Pressure Prediction Study Based on Fuzzy Cognitive Maps"],"prefix":"10.1142","volume":"19","author":[{"given":"Ye","family":"Li","sequence":"first","affiliation":[{"name":"School of Maritime Economics and Management, Dalian Maritime University, 1 Linghai Road, Dalian 116026\/Liaoning, P.\u00a0R.\u00a0China"}]},{"given":"Xiaohu","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Maritime Economics and Management, Dalian Maritime University, 1 Linghai Road, Dalian 116026\/Liaoning, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2020,8,5]]},"reference":[{"key":"S1469026820500236BIB001","first-page":"65","volume":"45","author":"Jianhao Y.","year":"2017","journal-title":"J. Coal Sci. Technol."},{"key":"S1469026820500236BIB002","first-page":"65","volume":"11","author":"Taisheng S.","year":"2010","journal-title":"J. Coal Eng."},{"key":"S1469026820500236BIB003","first-page":"93","volume":"17","author":"Junlin P.","year":"2012","journal-title":"J. Coal Min. Technol."},{"key":"S1469026820500236BIB004","first-page":"41","volume":"07","author":"Lihua Z.","year":"2003","journal-title":"J. Coal Sci. Technol."},{"key":"S1469026820500236BIB006","first-page":"59","volume":"31","author":"Chaofeng H.","year":"2012","journal-title":"J. Anhui Univ. Sci. Technol. (Nat. Sci.)"},{"key":"S1469026820500236BIB007","first-page":"20","volume":"29","author":"Fei W.","year":"2016","journal-title":"J. Shanxi Coal-Mining Adm. Coll."},{"key":"S1469026820500236BIB008","first-page":"6","volume-title":"Conf. Efficient and Intensive Mining in the 21st Century","author":"Jianguo Y.","year":"2001"},{"key":"S1469026820500236BIB009","first-page":"299","volume":"36","author":"Xuanchi Z.","year":"2011","journal-title":"J. China Coal Soc."},{"key":"S1469026820500236BIB010","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7373(86)80040-2"},{"key":"S1469026820500236BIB011","volume-title":"Fuzzy Engineering","author":"Kosko B.","year":"1996"},{"key":"S1469026820500236BIB012","volume-title":"Fuzzy Cognitive Map and Constructive Methods","author":"Zheng P.","year":"2017"},{"key":"S1469026820500236BIB013","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2015.7337973"},{"key":"S1469026820500236BIB014","first-page":"1147","volume":"34","author":"Yanli Z.","year":"2013","journal-title":"J. Chin. Comput. Syst."},{"key":"S1469026820500236BIB015","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2005.01.009"},{"key":"S1469026820500236BIB016","volume-title":"Deep Learning with Python","author":"Chollet F.","year":"2018"},{"key":"S1469026820500236BIB017","volume-title":"Machine Learning","author":"Zhihua Z.","year":"2016"}],"container-title":["International Journal of Computational Intelligence and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1469026820500236","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T03:16:49Z","timestamp":1665371809000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S1469026820500236"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,5]]},"references-count":16,"journal-issue":{"issue":"03","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["10.1142\/S1469026820500236"],"URL":"https:\/\/doi.org\/10.1142\/s1469026820500236","relation":{},"ISSN":["1469-0268","1757-5885"],"issn-type":[{"value":"1469-0268","type":"print"},{"value":"1757-5885","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,5]]},"article-number":"2050023"}}