CAJ | 학술논문

本文建立了基于GA—SVM的创新型城市评价模型，首先对评价数据进行了预处理，然后构建创新型城市评价指标体系，并对我国创新型城市进行实证研究。本文的方法避免了建立创新型城市评价模型时，参数选择的随机性。本文还对训练集城市的预测位次与真实位次进行了比较分析，验证检验结果的准确性。最后，分析了创新型城市评价结果并提出建议。
본문건립료기우GA—SVM적창신형성시평개모형，수선대평개수거진행료예처리，연후구건창신형성시평개지표체계，병대아국창신형성시진행실증연구。본문적방법피면료건립창신형성시평개모형시，삼수선택적수궤성。본문환대훈련집성시적예측위차여진실위차진행료비교분석，험증검험결과적준학성。최후，분석료창신형성시평개결과병제출건의。
This paper establishes the evaluation model of innovative city based on genetic algorithm and support vector machine （, mat is GA-SVM）. The evaluation data are preproeessed, and then it constructs the index system, and carries on the empirical research of innovative city in China. This method of GA-SVM avoids random selection of parameters when we establish the innovative city evaluation mode. This paper compared the prediction value with real value of training data, and verified the accuracy of test results. The results show that the evaluation of our innovation oriented-city is satisfactory. Finally, the paper analyzes the results of innovative city evaluation and suggestions are put forward.