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基于神经网络的煤矿底板突水预测
江东1; 陈佩佩2; 王建华1; 杨木根2
1999
Source Publication灾害学
ISSN1000-811X
Volume014Issue:001Pages:28
Abstract简述了运用人工神经网络建立煤矿底板突水预测模型的思路与方法,并以山国家庄煤矿为例,对该方法的合理性和准确性进行了验证。研究表明,利用人工神经网络建立非线性系统的预测模型,具有自学习,自适应,精度高等显著优点。
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/81675
Collection中国科学院地理科学与资源研究所
Affiliation1.中国科学院地理科学与资源研究所
2.中国矿业大学
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
江东,陈佩佩,王建华,等. 基于神经网络的煤矿底板突水预测[J]. 灾害学,1999,014(001):28.
APA 江东,陈佩佩,王建华,&杨木根.(1999).基于神经网络的煤矿底板突水预测.灾害学,014(001),28.
MLA 江东,et al."基于神经网络的煤矿底板突水预测".灾害学 014.001(1999):28.
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