{"title":"基于模糊-粗糙集神经网络的瓦斯涌出预测模型研究","authors":"Jing Hong, Yi Zhao","doi":"10.1109/ICMLC.2010.16","DOIUrl":null,"url":null,"abstract":"Precise and timely predicting the amount of gas emitted from the coal is of great importance for coal mine safety. A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal mine is proposed in this paper. Some practices prove that this model can perform better than the tradition neural network.","PeriodicalId":423912,"journal":{"name":"2010 Second International Conference on Machine Learning and Computing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"The Study of the Gas Emission Prediction Model Based on Fuzzy-rough Set Neural Network\",\"authors\":\"Jing Hong, Yi Zhao\",\"doi\":\"10.1109/ICMLC.2010.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Precise and timely predicting the amount of gas emitted from the coal is of great importance for coal mine safety. A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal mine is proposed in this paper. Some practices prove that this model can perform better than the tradition neural network.\",\"PeriodicalId\":423912,\"journal\":{\"name\":\"2010 Second International Conference on Machine Learning and Computing\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-02-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Machine Learning and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2010.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Machine Learning and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2010.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Study of the Gas Emission Prediction Model Based on Fuzzy-rough Set Neural Network
Precise and timely predicting the amount of gas emitted from the coal is of great importance for coal mine safety. A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal mine is proposed in this paper. Some practices prove that this model can perform better than the tradition neural network.