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- W2388769897 abstract "The economic circle as a product of the development of social has closely relation with transportation.In this paper,a new evaluation method of small sample cases for transportation network is pre-sented based on support vector machine(SVM) technology,in view of the problems such as the relative complexity of evaluation methods,the strong non-correlation between indices,susceptibleness by the subjective factors and the weight of index no easy confirming and so on.Support Vector Machine is a new machine learning method based on the structural risk minimization principle,and has the high generalization performance.This method can solve the small sample,nonlinear and high-dimensional pattern recognition problems.So this method can be used to evaluate complex system and reject subjective interference factors,and it can be found in the samples to explore the internal law of the categories too.And the evaluation model of transportation network in economic circle is established by using the classification strategy of support vector machine.Finally,through simulation analysis for the sample of transportation network in the economic circle,the case of transportation network in the Yangtze River Delta and Pearl River Delta economic circle are evaluated and researched.The result of the case shows that the evaluation method has better classification results and can accurately reflect the level of economic circle transportation network development more objective.The algorithm of this method is more efficient too." @default.
- W2388769897 created "2016-06-24" @default.
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- W2388769897 date "2012-01-01" @default.
- W2388769897 modified "2023-09-26" @default.
- W2388769897 title "A Study on Evaluation for Transportation Network in Economic Circle Based on Support Vector Machine Technology" @default.
- W2388769897 hasPublicationYear "2012" @default.
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