This paper presents a novel method for multi classifier dynamic combination based on minimum cost criterion.Differentfrom common combination methods,the proposed dynamic combinationselectsthe mostsuitable group ofc...This paper presents a novel method for multi classifier dynamic combination based on minimum cost criterion.Differentfrom common combination methods,the proposed dynamic combinationselectsthe mostsuitable group ofclassifiersaccordingtothe Performance Predication Feature (PPF) extractedfrom theinputsample.PPFs arethefeatures ofsample thathave greatinfluence onthe performance ofclassifiers being studied.The decisionis made based on the criterion thatthe selected group ofclassifiers should minimize the cost caused by recognition errorand recognition time .Systematic methods for making this kind of combination is proposed and a practical example ofapplication is given.Because the adjustment ofcostfunction willresultin differenttrade off between recognitionrate and recognition speed,itis very convenientto satisfy different needs.The application in on line Chinese characterrecognitiontechnologyshowsthatthis kind ofcombination method hasthe merits ofhighflexibility and practicality,anditisindeed able toimprove the system performance .展开更多
This paper considers the guaranteed cost control problem for a class of uncertain linear systems with both state and input delays. By representing the time-delay system in the descriptor system form and using a recent...This paper considers the guaranteed cost control problem for a class of uncertain linear systems with both state and input delays. By representing the time-delay system in the descriptor system form and using a recent result on bounding of cross products of vectors, we obtain new delay-dependent sufficient conditions for the existence of the guaranteed cost controller in terms of linear matrix inequalities. Two examples are presented which show the effectiveness of our approach.展开更多
In optimal wind bidding strategy related literatures, it is usually assumed that the full distribution information (for example, the cumulative distribution function or the probability density function) of wind power ...In optimal wind bidding strategy related literatures, it is usually assumed that the full distribution information (for example, the cumulative distribution function or the probability density function) of wind power output is known. In real world applications, however, only very limited distribution information can be obtained. Therefore, the “optimal bidding strategy” obtained based on the hypothetical distribution may be far away from the true optimal one. In this paper, an optimal bidding strategy is obtained based on the minimax regret criterion. The salient feature of the new approach is that it requires only partial information of wind power distribution, for example, the expectation and the support set. Numerical test is then performed and the results suggest that the method established in this paper is effective.展开更多
文摘This paper presents a novel method for multi classifier dynamic combination based on minimum cost criterion.Differentfrom common combination methods,the proposed dynamic combinationselectsthe mostsuitable group ofclassifiersaccordingtothe Performance Predication Feature (PPF) extractedfrom theinputsample.PPFs arethefeatures ofsample thathave greatinfluence onthe performance ofclassifiers being studied.The decisionis made based on the criterion thatthe selected group ofclassifiers should minimize the cost caused by recognition errorand recognition time .Systematic methods for making this kind of combination is proposed and a practical example ofapplication is given.Because the adjustment ofcostfunction willresultin differenttrade off between recognitionrate and recognition speed,itis very convenientto satisfy different needs.The application in on line Chinese characterrecognitiontechnologyshowsthatthis kind ofcombination method hasthe merits ofhighflexibility and practicality,anditisindeed able toimprove the system performance .
基金This work was supported by the National Natural Science Foundation of China (No. 10461001).
文摘This paper considers the guaranteed cost control problem for a class of uncertain linear systems with both state and input delays. By representing the time-delay system in the descriptor system form and using a recent result on bounding of cross products of vectors, we obtain new delay-dependent sufficient conditions for the existence of the guaranteed cost controller in terms of linear matrix inequalities. Two examples are presented which show the effectiveness of our approach.
文摘In optimal wind bidding strategy related literatures, it is usually assumed that the full distribution information (for example, the cumulative distribution function or the probability density function) of wind power output is known. In real world applications, however, only very limited distribution information can be obtained. Therefore, the “optimal bidding strategy” obtained based on the hypothetical distribution may be far away from the true optimal one. In this paper, an optimal bidding strategy is obtained based on the minimax regret criterion. The salient feature of the new approach is that it requires only partial information of wind power distribution, for example, the expectation and the support set. Numerical test is then performed and the results suggest that the method established in this paper is effective.
