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1)  the classification of rock masses
围岩判别
1.
Based on the artificial neural network theory, combining the factual project datum of highway tunnels classification of rock masses, using the BP neural networks model with teacher study and predicting function, the classification of rock masses in highway tunnel is studied.
基于人工神经元网络原理,结合公路隧道围岩判别的工程实际资料,通过BP神经网络模型的有师学习记忆和预测功能,对公路隧道围岩判别预测进行了研究。
2)  discriminance of wall rocks balance
围岩平衡判别法
3)  Wall rock classification
围岩等级判别
4)  lithology discriminant
岩性判别
1.
Evaporation salt basin lithology discriminant system based on SOA;
基于SOA的蒸发岩盆地岩性判别系统
5)  classification of surrounding rock
围岩类别
1.
In this paper,the engineering geologic characteristics and classification of surrounding rock of the Cretaceous soft rock of Baichuan hydropower station tunnel are deeply expounded,the pattern of e.
该文深刻阐述了白川水电站隧洞白垩系软岩围岩工程地质特性、围岩类别划分,总结了施工中所采用开挖及支护型式、控制围岩稳定的措施和方法。
6)  surrounding rock classification
围岩类别
1.
Comparison analysis of surrounding rock classification before and after excavation on powerhousre of Laxiwa hydropower station;
拉西瓦水电站主厂房施工前后围岩类别对比分析
补充资料:里雅普诺夫判别定理
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