摘要
提出了一种可用于岩石地下工程锚喷支护设计的人工智能综合设计方法。这种方法是首先采用专家系统、人工神经元网络和案例设计3种人工智能方法对同一岩石工程分别进行支护设计,然后再用分区多专家决策算法将所得3种设计结果加以综合,形成最终设计方案,它充分利用了各种人工智能方法的特长,有效地避免了单一方法所容易出现的偏见。应用表明,人工智能综合设计方法能把工程类比法提高到一个新高度。
An integrated intelligent method for bolt-shotcrete support design in underground rock excavation is presented. Firstly, the expert system and artificial neural network as well as case-based design are applied to predict the parameters for support individually. Then the divisional weight-adapting multi-expert decision algorithm is used to integrate those results given by above artificial intelligent methods andform the last design scheme. The method proposed here can comprehensively consider different artificial intelligent design methods and provide the support parameters which are closest to practice. The method can be used as a practical tool for the support design of underground rock excavation.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2004年第5期781-785,共5页
Chinese Journal of Rock Mechanics and Engineering
基金
国家自然科学基金(50078002)资助项目。
关键词
地下工程
人工智能
锚喷支护
集成
支护设计
underground engineering,artificial intelligence,bolt-shotcrete support,integration,support design
