In this paper, a novel data mining method is introduced to solve the multi-objective optimization problems of process industry. A hyperrectangle association rule mining （HARM） algorithm based on support vector machi...In this paper, a novel data mining method is introduced to solve the multi-objective optimization problems of process industry. A hyperrectangle association rule mining （HARM） algorithm based on support vector machines （SVMs） is proposed. Hyperrectangles rules are constructed on the base of prototypes and support vectors （SVs） under some heuristic limitations. The proposed algorithm is applied to a simulated moving bed （SMB） paraxylene （PX） adsorption process. The relationships between the key process variables and some objective variables such as purity, recovery rate of PX are obtained. Using existing domain knowledge about PX adsorption process, most of the obtained association rules can be explained.展开更多
In order to alleviate difficulties of conducting consumer-to-consumer(C2C)e-commerce transaction,establishing efficient e-alliance was proposed.E-alliance is the union of e-commerce sites.It is constructed by mobile a...In order to alleviate difficulties of conducting consumer-to-consumer(C2C)e-commerce transaction,establishing efficient e-alliance was proposed.E-alliance is the union of e-commerce sites.It is constructed by mobile agents.The mobile agent architecture was discussed.The process of selecting suitable e-commerce site to e-alliance was presented based on support vector machine(SVM)and fuzzy method.A prototype of the proposed system is implemented on a web platform.To enable data exchange between e-alliance and e-commerce,the system employs XML as data format.The prototype has demonstrated that the efficient C2C e-alliance is reasonable.展开更多
基金Supported by the National Natural Science Foundation of China (No. 60421002)National Outstanding Youth Science Foundation of China (No. 60025308)the New Century 151 Talent Project of Zhejiang Province.
文摘In this paper, a novel data mining method is introduced to solve the multi-objective optimization problems of process industry. A hyperrectangle association rule mining （HARM） algorithm based on support vector machines （SVMs） is proposed. Hyperrectangles rules are constructed on the base of prototypes and support vectors （SVs） under some heuristic limitations. The proposed algorithm is applied to a simulated moving bed （SMB） paraxylene （PX） adsorption process. The relationships between the key process variables and some objective variables such as purity, recovery rate of PX are obtained. Using existing domain knowledge about PX adsorption process, most of the obtained association rules can be explained.
基金International Cooperation Project of Hubei Province of China(No.2007CA008)
文摘In order to alleviate difficulties of conducting consumer-to-consumer(C2C)e-commerce transaction,establishing efficient e-alliance was proposed.E-alliance is the union of e-commerce sites.It is constructed by mobile agents.The mobile agent architecture was discussed.The process of selecting suitable e-commerce site to e-alliance was presented based on support vector machine(SVM)and fuzzy method.A prototype of the proposed system is implemented on a web platform.To enable data exchange between e-alliance and e-commerce,the system employs XML as data format.The prototype has demonstrated that the efficient C2C e-alliance is reasonable.
