|
English
|
正體中文
|
简体中文
|
总笔数 :0
|
|
造访人次 :
52635837
在线人数 :
929
教育部委托研究计画 计画执行:国立台湾大学图书馆
|
|
|
"kuo r j"的相关文件
显示项目 31-40 / 135 (共14页)
<< < 1 2 3 4 5 6 7 8 9 10 > >>
每页显示[10|25|50]项目
| 國立臺灣科技大學 |
2018 |
Artificial bee colony-based support vector machines with feature selection and parameter optimization for rule extraction
|
Kuo R.J.; Huang S.B.L.; Zulvia F.E.; Liao T.W. |
| 國立臺灣科技大學 |
2018 |
Automatic clustering using an improved artificial bee colony optimization for customer segmentation
|
Kuo R.J.; Zulvia F.E. |
| 國立臺灣科技大學 |
2018 |
Gradient Evolution-based Support Vector Machine Algorithm for Classification
|
Zulvia, F.E.;Kuo, R.J. |
| 國立臺灣科技大學 |
2018 |
Five discrete symbiotic organisms search algorithms for simultaneous optimization of feature subset and neighborhood size of KNN classification models
|
Liao, T.W.;Kuo, R.J. |
| 國立臺灣科技大學 |
2017 |
An ant colony based optimization for RFID reader deployment in theme parks under service level consideration
|
Tsai, C.-Y;Chang, H.-T;Kuo, R.J. |
| 國立臺灣科技大學 |
2017 |
Integration of cluster analysis and granular computing for imbalanced data classification: A case study on prostate cancer prognosis in Taiwan
|
Kuo, R.J;Lin, Lin L;Zulvia, F.E;Lin, C.C. |
| 國立臺灣科技大學 |
2017 |
Intelligent customer segmentation system using hybrid of artificial immune network and particle swarm optimization algorithm
|
Kuo, R.J;Chen, S.S. |
| 國立臺灣科技大學 |
2017 |
A shopping behavior prediction system: Considering moving patterns and product characteristics
|
Tsai, C.-Y;Li, M.-H;Kuo, R.J. |
| 國立臺灣科技大學 |
2017 |
Combining SOM and evolutionary computation algorithms for RBF neural network training
|
Chen, Z.-Y;Kuo, R.J. |
| 國立臺灣科技大學 |
2017 |
Evolutionary Algorithm-Based Radial Basis Function Neural Network Training for Industrial Personal Computer Sales Forecasting
|
Chen, Z.-Y;Kuo, R.J. |
显示项目 31-40 / 135 (共14页)
<< < 1 2 3 4 5 6 7 8 9 10 > >>
每页显示[10|25|50]项目
|
