Study on Least Trimmed Squares Artificial Neural Networks

碩士 === 國立中山大學 === 電機工程學系研究所 === 96 === In this thesis, we study the least trimmed squares artificial neural networks (LTS-ANNs), which are generalization of the least trimmed squares (LTS) estimators frequently used in robust linear parametric regression problems to nonparametric artificial neural n...

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Bibliographic Details
Main Authors: Wen-Chin Cheng, 鄭文欽
Other Authors: Jer-Guang Hsieh
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/uku536