Expanded adaptive fuzzy sliding mode controller using expert knowledge and fuzzy basis function expansion for UFV depth control

Generally, the underwater flight vehicle (UFV) depth control system operates with the following problems: it is a multi-input multi-output (MIMO) system, it requires robustness, a continuous control input, and further, it has the speed dependency of controller parameters. To solve these problems, an expanded adaptive fuzzy sliding mode controller (EAFSMC), which is based on the decomposition method designed by using an expert knowledge and the decoupled sub-controllers and composition method designed by using the fuzzy basis function expansions (FBFEs), is proposed. To verify the performance of the EAFSMC, the depth control of UFV in various operating conditions is performed. Simulation results show that the EAFSMC solves all problems experienced in the UFV depth control system online.     

福建戴云山隧道断层性质与稳定性研究

隧道断层（F2）为张性正断层,破坏原岩中较为对称的应力平衡,加之带内岩石破碎,节理裂隙发育,使得断层更加容易坍塌和涌水。建议采用稳定掌子面法和专门支护保证硐室稳定。     

综合信息解译图件智能化处理模型

解译过程的智能化实现，一直是综合信息矿产预测理论与实践中所关注的问题。本文根据综合信息解译的特点，分析了实现智能化过程的基本方法，设计了开发智能解译系统的模型。本模型集图像分析与处理技术和专家系统技术为一体，体现了解译过程的本质特征。文中论述了它们的基本任务和要求。本模型对建造不同研究内容、不同解译任务的智能化系统具有指导作用     

Knowledge Representation Methods in Expert System for Earthquake Prediction ESEP 3.0

INTRODUCTIONKnowledgerepresentationandknowledgeacquisitionarekeyissuesinbuildinganexpertsystem .Theyarecloselyrelatedtothedomainproblem solvinglevelandcompetenceoftheexpertsystem .Intheknowledgeacquisitionprocess,thedomainexpertwillfirstofferandorganizepr…     

An object-oriented knowledge representation structure for exploration data integration

Knowledge representation structure and reasoning processes are very important issues in the knowledge-based approach of integrating multiple spatial data sets for resource exploration. An object-oriented knowledge representation structure and corresponding reasoning processes are formulated and tested in this research on the knowledge-based approach of integrating spatial exploration data. The map-based prototype expert system developed in this study has self-contained knowledge representation structure and inference mechanisms. It is important to distinguish between lack of information and information providing negative evidence for a map-based system because the spatial distribution of data sets are uneven in most cases. Error and uncertainty estimation is also an important component of any production expert system. The uncertainty propagation mechanisms developed here work well for this type of integrated exploration problem. Evidential bellef function theory provides a natural theoretical basis for representing and integrating spatially uneven geophysical and geological information. The prototype system is tested using real mineral exploration data sets from the Snow Lake area, northern Manitoba, Canada. The test results outline the favorable exploration areas successfully and show the effectiveness of the knowledge representation structure and inference mechanisms for the knowledge-based approach.     

Certainty factors of earthquake precursory anomaly evidences CF(E)

ＣｅｒｔａｉｎｔｙｆａｃｔｏｒｓｏｆｅａｒｔｈｑｕａｋｅｐｒｅｃｕｒｓｏｒｙａｎｏｍａｌｙｅｖｉｄｅｎｃｅｓＣＦ（Ｅ）Ｚｈａｏ－ＢｉＺＨＥＮＧ（郑兆）（ＳｅｉｓｍｏｌｏｇｉｃａｌＢｕｒｅａｕｏｆＡｎｈｕｉＰｒｏｖｉｎｃｅ，Ｈｅｆｅｉ２３００３１，Ｃｈ...     

自组织人工神经网络在地震综合预报中的应用

运用三维Ｔ·ｋｏｈｏｎｅｎ自组织人工神经网络进行地震综合预报，以云南多震区─滇西南地震区为例进行实际判别计算，预测成功率达１００％。结果表明．神经网络方法性能较好，可望成为进行地震实际预报的一种有效的辅助手段。