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題名 An integrated algorithm of Liu`s generalized Lambda-measure based Choquet integral and hurst exponent
作者 Liu, H.-C.;Tsai, H.-C.;Cheng, Yu-Ting;Yu, Y.-K.
鄭宇庭
貢獻者 統計系
關鍵詞 Choquet integral; Fuzzy measures; Hurst exponents; L-measure; Liu`s generalized Lambda-measure Introduction; Biometrics; Integral equations; Security of data; Regression analysis
日期 2012
上傳時間 17-Apr-2015 10:55:51 (UTC+8)
摘要 In this paper, a novel integrated algorithm of Choquet integral with respect to Liu`s generalized Lambda-measure and Hurst exponent was proposed, it can be used for predicting the temperature of thermos table proteins on some useful physicochemical quantities of each amino symbolic sequence with different lengths. A real data set of the temperature of thermos table proteins with 5-fold cross-validation MSE is conducted, for comparing the performances of the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to six measures, P-measure, ?-measure, L-measure, extensional L-measure, generalized L-measure and Liu, s generalized Lambda-measure, respectively, and two traditional regression model, multiple regression model and ridge regression model, the results show that the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to Liu`s generalized Lambda-measure has the best performance. © 2012 IEEE.
關聯 Proceedings - 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012
資料類型 conference
DOI http://dx.doi.org/10.1109/ISBAST.2012.32
dc.contributor 統計系
dc.creator (作者) Liu, H.-C.;Tsai, H.-C.;Cheng, Yu-Ting;Yu, Y.-K.
dc.creator (作者) 鄭宇庭zh_TW
dc.date (日期) 2012
dc.date.accessioned 17-Apr-2015 10:55:51 (UTC+8)-
dc.date.available 17-Apr-2015 10:55:51 (UTC+8)-
dc.date.issued (上傳時間) 17-Apr-2015 10:55:51 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/74655-
dc.description.abstract (摘要) In this paper, a novel integrated algorithm of Choquet integral with respect to Liu`s generalized Lambda-measure and Hurst exponent was proposed, it can be used for predicting the temperature of thermos table proteins on some useful physicochemical quantities of each amino symbolic sequence with different lengths. A real data set of the temperature of thermos table proteins with 5-fold cross-validation MSE is conducted, for comparing the performances of the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to six measures, P-measure, ?-measure, L-measure, extensional L-measure, generalized L-measure and Liu, s generalized Lambda-measure, respectively, and two traditional regression model, multiple regression model and ridge regression model, the results show that the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to Liu`s generalized Lambda-measure has the best performance. © 2012 IEEE.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Proceedings - 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012
dc.subject (關鍵詞) Choquet integral; Fuzzy measures; Hurst exponents; L-measure; Liu`s generalized Lambda-measure Introduction; Biometrics; Integral equations; Security of data; Regression analysis
dc.title (題名) An integrated algorithm of Liu`s generalized Lambda-measure based Choquet integral and hurst exponent
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/ISBAST.2012.32
dc.doi.uri (DOI) http://dx.doi.org/10.1109/ISBAST.2012.32