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Showing items 1-13 of 13 (1 Page(s) Totally) 1 View [10|25|50] records per page
亞洲大學 |
2018-07 |
Using Internet search trends and historical trading data for predicting stock markets by the least squares support vector regression model
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Pa, Ping-Feng;Pai, Ping-Feng;*;Ling-Chuang;Hong, Ling-Chuang;林國平;Lin, Kuo-Ping |
大葉大學 |
2007-03 |
Feasibility assessment of support vector regression models with immune algorithms in predicting fatigue life of composites
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Hong, Wei-Chiang;Lai, Feng-Min;Pai, Ping-Feng |
大葉大學 |
2007-01-1 |
Two Revised GM Methods for Predicting Stock Index in Taiwan
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Lin, Yen-Hung;Wang, Jean-shyan;Pai, Ping-Feng |
大葉大學 |
2007-01-01 |
Two Revised GM Methods for Predicting Stock Index in Taiwan
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Lin, Yen-Hung;Wang, Jean-shyan;Pai, Ping-Feng |
大葉大學 |
2005 |
The application of support vector machine to forecast tourist arrivals in Barbados
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Pai, Ping-Feng;Hong, Wei-Chiang;Chang, Ping-Teng |
大葉大學 |
2005 |
A hybrid support vector machine regression for exchange rate prediction
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Pai, Ping-Feng;Lin, Chih-Shen;Hong, Wei-Chiang |
大葉大學 |
2005 |
Electricity load forecasting by using support vector machines with simulated annealing algorithm
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Hong, Wei-Chiang;Pai, Ping-Feng;Lin, Chih-Shen;Chen, Chen C T |
大葉大學 |
2005 |
Grey models in seasonal time series forecasting
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Wang, Jean-Shyan;Pai, Ping-Feng;Lin, Yen-Hung |
大葉大學 |
2005 |
Forecasting tourism demand using a multifactor support vector machine model
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Pai, Ping-Feng;Hong, WC;Lin, CS |
大葉大學 |
2004-11 |
A Grey Prediction Model with Factor Analysis Technique
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Lin, Yen-Hung;Pai, Ping-Feng;Wang, Jean-shyan |
大葉大學 |
2004-03 |
Stock Price Forecasting in Taiwan Using Ellipsoidal Fuzzy System
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Pai, Ping-Feng;Lin, Kuo-Ping;Wang, Jean-shyan |
大葉大學 |
2003 |
Stock Price Forecasting in Taiwan Using Ellipsoidal Fuzzy System
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Pai, Ping-Feng;Lin, Kuo-Ping;Wang, Jean-Shyan |
大葉大學 |
2003 |
A Heuristic Production Activity Control for Wafer Fabrication Factory with Hybrid MTO and MTS Production Environment,
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chang;wang;li;Pai, Ping-Feng |
Showing items 1-13 of 13 (1 Page(s) Totally) 1 View [10|25|50] records per page
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