期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
Discussion on the Construction Paths of "Three Types" Party Organizations in Higher Vocational Colleges
1
作者 LIDan SHANBin 《外文科技期刊数据库(文摘版)教育科学》 2022年第5期057-061,共5页
The Party organization in higher vocational colleges is the basis for the Party to carry out all the work in higher vocational colleges and the Partys combat effectiveness. Its construction is the inherent requirement... The Party organization in higher vocational colleges is the basis for the Party to carry out all the work in higher vocational colleges and the Partys combat effectiveness. Its construction is the inherent requirement to cultivate morality and cultivate people in higher vocational colleges, the inevitable choice to strengthen the Party organization construction in higher vocational colleges, and the objective need to practice people-centered thinking. Party organizations in higher vocational colleges should keep up with the pace of the new era and explore the path of construction. Firstly, they should focus on improving the leading power of party organizations based on learning;Secondly, we should take service as the goal and strive to improve the execution of the party organization;Thirdly, we should take innovation as the driving force and strive to enhance the combat effectiveness of the Party organization. 展开更多
关键词 higher vocational colleges "three types" party organization construction paths
在线阅读 下载PDF
The risk early-warning of gas hazard in coal mine based on Rough Set-neural network
2
作者 田水承 王莉 《Journal of Coal Science & Engineering(China)》 2007年第4期400-404,共5页
This article proposed the risk early-warning model of gas hazard based on Rough Set and neural network. The attribute quantity was reduced by Rough Set, the main characteristic attributes were withdrawn, the complexit... This article proposed the risk early-warning model of gas hazard based on Rough Set and neural network. The attribute quantity was reduced by Rough Set, the main characteristic attributes were withdrawn, the complexity of neural network system and the computing time was reduced, as well. Because of fault-tolerant ability, parallel processing ability, anti-jamming ability and processing non-linear problem ability of neural network system, the methods of Rough Set and neural network were combined. The examples research indicate: applying Rough Set and BP neural network to the gas hazard risk early-warning coal mines in coal mine, the BPNN structure is greatly simplified, the network computation quantity is reduced and the convergence rate is speed up. 展开更多
关键词 Rough Set (RS) BP neural network three types of hazard risk early-warning
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部