Integrating Nonlinear Principal Component Analysis and Neural Network to Develop a Statistical Downscaling Model
碩士 === 中原大學 === 土木工程研究所 === 102 === The study combines principal component analysis (PCA), nonlinear principal component analysis (NLPCA), and genetic algorithm (GA) based radial basis function neural network (RBFNN) to develop a statistical downscaling model (NGRB). Firstly, the PCA and NLPCA are u...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/96147886294186511491 |