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A case-based reasoning method of recognizing liquefaction pits induced by 2021 M_(W) 7.3 Madoi earthquake

Earthquake Research Advances 2023年第1期3卷 61-69页

作者： Peng Liang Yueren Xu Wenqiao Li Yanbo Zhang Qinjian Tian Key Laboratory of Earthquake Prediction Institute of Earthquake ForecastingChina Earthquake AdministrationBeijing100036China China Earthquake Disaster Prevention Center China Earthquake AdministrationBeijing100029China

Earthquake-triggered liquefaction deformation could lead to severe infrastructure damage and associated casualties and property damage.At present,there are few studies on the rapid extraction of liquefaction pits based on high-resolution satellite images.Therefore,we provide a framework for extracting liquefaction pits based on a case-based reasoning method.Furthermore,five covariates selection methods were used to filter the 11 covariates that were generated from high-resolution satellite images and digital elevation models(DEM).The proposed method was trained with 450 typical samples which were collected based on visual interpretation,then used the trained case-based reasoning method to identify the liquefaction pits in the whole study area.The performance of the proposed methods was evaluated from three aspects,the prediction accuracies of liquefaction pits based on the validation samples by kappa index,the comparison between the pre-and post-earthquake images,the rationality of spatial distribution of liquefaction pits.The final result shows the importance of covariates ranked by different methods could be different.However,the most important of covariates is consistent.When selecting five most important covariates,the value of kappa index could be about 96%.There also exist clear differences between the pre-and post-earthquake areas that were identified as liquefaction pits.The predicted spatial distribution of liquefaction is also consistent with the formation principle of liquefaction.

关键词： Coseismic liquefaction case-based reasoning K-nearest neighbor Covariates selection 2021 M_(w)7.3 Madoi earthquake Qinghai-Tibetan Plateau

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Endpoint temperature prediction of molten steel in RH using improved case-based reasoning

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International Journal of Minerals,Metallurgy and Materials 2013年第12期20卷 1148-1154页

作者： Kai Feng Hong-bing Wang An-jun Xu Dong-feng He School of Metallurgy and Ecology Engineering University of Science and Technology Beijing State Key Laboratory of Advanced Metallurgy University of Science and Technology Beijing School of Computer and Communication Engineering University of Science and Technology Beijing

An improved case-based reasoning （CBR） method was proposed to predict the endpoint temperature of molten steel in Ruhrstahl Heraeus （RH） process. Firstly, production data were analyzed by multiple linear regressions and a pairwise comparison matrix in analytic hierarchy process （AHP） was determined by this linear regression＇s coefficient. The weights of various influencing factors were obtained by AHP. Secondly, the dividable principles of case base including ＂0-1＂ and ＂breakpoint＂ were proposed, and the case base was divided into several homogeneous parts. Finally, the improved CBR was compared with ordinary CBR, which is based on the even weight and the single base. The results show that the improved CBR has a higher hit rate for predicting the endpoint temperature of molten steel in RH.

关键词： steelmaking degassing case-based reasoning analytic hierarchy process temperature prediction

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case-based reasoning(CBR) Model for Ultra-Fast Cooling in Plate Mill

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Chinese Journal of Mechanical Engineering 2014年第6期27卷 1264-1271页

作者： HU Xiao WANG Zhaodong WANG Guodong State Key Laboratory of Rolling and Automation Northeastern University

New generation thermo-mechanical control process（TMCP） based on ultra-fast cooling is being widely adopted in plate mill to product high-performance steel material at low cost. Ultra-fast cooling system is complex because of optimizing the temperature control error generated by heat transfer mathematical model and process parameters. In order to simplify the system and improve the temperature control precision in ultra-fast cooling process, several existing models of case-based reasoning（CBR） model are reviewed. Combining with ultra-fast cooling process, a developed R5 CBR model is proposed, which mainly improves the case representation, similarity relation and retrieval module. Certainty factor is defined in semantics memory unit of plate case which provides not only internal data reliability but also product performance reliability. Similarity relation is improved by defined power index similarity membership function. Retrieval process is simplified and retrieval efficiency is improved apparently by windmill retrieval algorithm. The proposed CBR model is used for predicting the case of cooling strategy and its capability is superior to traditional process model. In order to perform comprehensive investigations on ultra-fast cooling process, different steel plates are considered for the experiment. The validation experiment and industrial production of proposed CBR model are carried out, which demonstrated that finish cooling temperature（FCT） error is controlled within±25℃ and quality rate of product is more than 97%. The proposed CBR model can simplify ultra-fast cooling system and give quality performance for steel product.

关键词： ultra-fast cooling plate mill case-based reasoning case representation similarity relation retrieval module

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A case-based reasoning approach for task-driven spatial-temporally aware geospatial data discovery through geoportals

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International Journal of Digital Earth 2017年第11期10卷 1146-1165页

作者： Ming Li Wei Guo Lian Duan Xinyan Zhu Institute of Space Science and Technology Nanchang UniversityNanchangPeople’s Republic of China State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China Collaborative Innovation Center of Geospatial Technology WuhanPeople’s Republic of China Key Laboratory of Environment Change and Resources Use in Beibu Gulf(Guangxi Teachers Education University) Ministry of EducationGuangxiPeople’s Republic of China Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation(Guangxi Teachers Education University) GuangxiPeople’s Republic of China

There is a critical need to develop a means for fast,task-driven discovery of geospatial data found in geoportals.Existing geoportals,however,only provide metadata-based means for discovery,with little support for task-driven discovery,especially when considering spatial–temporal awareness.To address this gap,this paper presents a case-based reasoning-supported Geospatial Data Discovery(CBR-GDD)method and implementation that accesses geospatial data by tasks.The advantages of the CBR-GDD approach is that it builds an analogue reasoning process that provides an internal mechanism bridging tasks and geospatial data with spatial–temporal awareness,thus providing solutions based on past tasks.The CBR-GDD approach includes a set of algorithms that were successfully implemented via three components as an extension of geoportals:ontology-enhanced knowledge base,similarity assessment model,and case retrieval nets.A set of experiments and case studies validate the CBR-GDD approach and application,and demonstrate its efficiency.

关键词： case-based reasoning geospatial data discovery ontology geoportals spatial–temporal awareness

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case-based reasoning for Slope Stability Evaluation and Its Application

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Journal of Wuhan University of Technology(Materials Science) 2001年第4期16卷 62-65页

作者：刘沐宇 Inst. of Civil Eng. and Architecture Wuhan University of Technology Wuhan 430070 China

Slope is a non-linear and uncertain kinetic system affected by many factors. In view of the incompleteness and uncertainty of the information of slope stability evaluation, a new method of slop stability evaluation by using case-based reasoning is presented. Considering the sensitivity of attribute weights to the environment, the algorithm of attribute weights is set up on the basis of the concept of changeable weights. Calculating the similarity between target case of the slope and base case, the stability of target case is evaluated. It is shown from examples that the method is simple, visual, practical, and convenient for use.

关键词： case-based reasoning slope slope stability comprehensive evaluation

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Development of High-speed Machining Database with case-based reasoning

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厦门大学学报（自然科学版） 2002年第S1期41卷 48-49页

作者： WANG Zun-tong, LIU Zhan-qiang, AI Xing (School of Mechanical Engineering, Shandong University, Jinan 250061, China)

Applying high-speed machining technology in shop floor has many benefits, such as manufacturing more accurate parts with better surface finishes. The selection of the appropriate machining parameters plays a very important role in the implementation of high-speed machining technology. The case-based reasoning is used in the developing of high-speed machining database to overcome the shortage of available high-speed cutting parameters in machining data handbooks and shop floors. The high-speed machining database developed in this paper includes two main components: the machining database and the case-base. The machining database stores the cutting parameters, cutting tool data, work pieces and their materials data, and other relative data, while the case-base stores mainly the successfully solved cases that are problems of work pieces and their machining. The case description and case retrieval methods are described to establish the case-based reasoning high-speed machining database. With the case retrieval method, some succeeded cases similar to the new machining problem can be retrieved from the case-base. The solution of the most matched case is evaluated and modified, and then it is regarded as the proposed solution to the new machining problem. After verification, the problem and its solution are packed up into a new case, and are stored in the case-base for future applications.

关键词： case-based reasoning high-speed machining database case

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case-based reasoning Topological Complexity Calculation of Design for Components

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Journal of Modern Transportation 2001年第2期18卷 158-168页

作者：李高正黄小平师汉民 School of Manufacturing Science and Engineering Huazhong University of Science and Technology

Directly calculating the topolo gi cal and geometric complexity from the STEP (standard for the exchange of product model data, ISO 10303) file is a huge task. So, a case-based reasoning approac h is presented, which is based on the similarity between the new component and t he old one, to calculate the topological and geometric complexity of new compone nts. In order to index, retrieve in historical component database, a new way of component representation is brought forth. And then an algorithm is given to ext ract topological graph from its STEP files. A mathematical model, which describe s how to compare the similarity, is discussed. Finally, an example is given to s how the result.

关键词： topological complexity component representation case-based reasoning

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case-based reasoning in Conceptual Design

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Computer Aided Drafting,Design and Manufacturing 1998年第2期8卷 29-37页

作者： Gao Jianfeng Bu Fenglin Zhang Shensheng (CIT Lab in Computer Science Dept., Shanghai JiaoTong University, Shanghai 200030, PRC )He Yuanjun (Shipbuilding Technology Research Institute of CSSC, Shanghai 200032, PRC)

The framework for supporting conceptual design using case-based reasoning is studied. Adesign knowledge representation scheme is presented. It is capable of representing both generalized and specific design knowledge. A two-phase case retrieval strategy, called index elaboration, is described which supports both requirement-function transformation and function-feature transformation at conceptual design stage. We propose a prototype system and discuss in detail the realization of supporting conceptual design by CBR.

关键词： conceptual design case-based reasoning design prototype

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Application of case-based reasoning to Intelligent Support System for Coordinating Land Conflicts

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Journal of Southwest Jiaotong University(English Edition) 2007年第3期15卷 210-217页

作者：李红波谭术魁钟海峰 School of Civil Engineering and Mechanics Huazhong University of Science and Technology School of Computer Science and Engineering Huazhong University of Science and Technology

To establish the institutional mechanism for land conflict coordination in China, a case-based reasomng system is developed as an intelligent support and effective manner to resolve such issues. The establishment of the case library is discussed, previous land conflict cases are archived in a structural representation format for retrieval, and the similarity algorithm is adopted to compare the case features. Group tests show a good classification performance, which reveals that the system is feasible.

关键词： Land conflict case-based reasoning Similarity algorithm Coordination system

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case based reasoning based on Fuzzy Rough Set

Case Based Reasoning Based on Fuzzy Rough Set

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2010 2nd IEEE International Conference on Information and Financial Engineering(ICIFE2010)

作者： Xingyi Li School of Computer Science and Telecommunication Engineering Jiangsu University Zhenjiang Jiangsu China Xueling Li School of Computer Science and Telecommunication Engineering Jiangsu University Zhenjiang Jiangsu China Huaji Shi School of Computer Science and Telecommunication Engineering Jiangsu University Zhenjiang Jiangsu China

This paper presents a new attribute significance measurement method based on the viewpoint of information theory of Fuzzy Rough Set.The method does not need to discretize continuous attributes included in cases,which can effectively reduce information loss,and it is suitable for the cases which contain both discrete and continuous attributes.Then it proposes a heuristic algorithm based on the new attribute significance for attribute reduction and weight distribution,and combines with the Nearest Neighbour （NN） method in case retrieve process.Finally,an example shows that this method improves accuracy and universality of the case retrieval.

关键词： fuzzy rough set attribute significant case-based reasoning weight distribution

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