Study of the two dimensional illumination distribution by using the Newton method and the back-propogation neural network
碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 101 === The main theme of this thesis is to design the control modal for the operation lamp to improve the operator comfortable and reduce human cost.The proposed Back-Propogated Algorithm(BP),The Advanced Newton Method improve the accuracy of illumination .The co...
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ndltd-TW-101KUAS04420732015-10-13T22:24:06Z http://ndltd.ncl.edu.tw/handle/64014553117874355738 Study of the two dimensional illumination distribution by using the Newton method and the back-propogation neural network 利用牛頓倒傳遞神經網路探求二維照度分布之研究 Yung-Ta Tsai 蔡咏達 碩士 國立高雄應用科技大學 電機工程系博碩士班 101 The main theme of this thesis is to design the control modal for the operation lamp to improve the operator comfortable and reduce human cost.The proposed Back-Propogated Algorithm(BP),The Advanced Newton Method improve the accuracy of illumination .The control modal of the operation lamp is firsted examined using the measured outputs in data.The accuracy of the control modal is comfirmed by the experiment.In order to make a comparison,we also introduce the curve fitting method and the basic back propogation method.Two kinds of paper, a white paper and a gray paper are vindicated to test the proformance.All the computer simulation results demonstrate that the proposed control modal can provide the accuracy predictIon of illumination among all the operation room under all surgery. Hsiao-Yi Lee 李孝貽 2013 學位論文 ; thesis 85 zh-TW |
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碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 101 === The main theme of this thesis is to design the control modal for the operation lamp to improve the operator comfortable and reduce human cost.The proposed Back-Propogated Algorithm(BP),The Advanced Newton Method improve the accuracy of illumination .The control modal of the operation lamp is firsted examined using the measured outputs in data.The accuracy of the control modal is comfirmed by the experiment.In order to make a comparison,we also introduce the curve fitting method and the basic back propogation method.Two kinds of paper, a white paper and a gray paper are vindicated to test the proformance.All the computer simulation results demonstrate that the proposed control modal can provide the accuracy predictIon of illumination among all the operation room under all surgery.
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author2 |
Hsiao-Yi Lee |
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Hsiao-Yi Lee Yung-Ta Tsai 蔡咏達 |
author |
Yung-Ta Tsai 蔡咏達 |
spellingShingle |
Yung-Ta Tsai 蔡咏達 Study of the two dimensional illumination distribution by using the Newton method and the back-propogation neural network |
author_sort |
Yung-Ta Tsai |
title |
Study of the two dimensional illumination distribution by using the Newton method and the back-propogation neural network |
title_short |
Study of the two dimensional illumination distribution by using the Newton method and the back-propogation neural network |
title_full |
Study of the two dimensional illumination distribution by using the Newton method and the back-propogation neural network |
title_fullStr |
Study of the two dimensional illumination distribution by using the Newton method and the back-propogation neural network |
title_full_unstemmed |
Study of the two dimensional illumination distribution by using the Newton method and the back-propogation neural network |
title_sort |
study of the two dimensional illumination distribution by using the newton method and the back-propogation neural network |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/64014553117874355738 |
work_keys_str_mv |
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1718076398265958400 |