赫夫轉換類神經網路於震測圖型之分析

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	游俊德	en_US
dc.contributor.author	黃國源	en_US
dc.date.accessioned	2014-12-12T02:04:29Z	-
dc.date.available	2014-12-12T02:04:29Z	-
dc.date.issued	2004	en_US
dc.identifier.uri	http://140.113.39.130/cdrfb3/record/nctu/#GT009123542	en_US
dc.identifier.uri	http://hdl.handle.net/11536/52979	-
dc.description.abstract	在本論文中提出一種可用於赫夫轉換的類神經網路架構，特別是用於震測訊號的分析當中，針對直接波（直線）與反射波（雙曲線）的辨認而設計。對於震測訊號的分析與處理，直接波（直線）與反射波（雙曲線）的辨認至為重要，因此本文所提之方法有助於震測訊號的分析，以利後續之處理。	zh_TW
dc.description.abstract	A neural network model for Hough transform is proposed. This model can be applied to seismic signal processing and recognition of directed wave (line) and reflected wave (hyperbola) on seismic signal. For seismic signal analysis and processing, the detection of directed wave (line) and reflected wave (hyperbola) are very important. Our method provides convenience to the seismic signal processing.	en_US
dc.language.iso	zh_TW	en_US
dc.subject	赫夫轉換	zh_TW
dc.subject	類神經網路	zh_TW
dc.subject	圖型分析	zh_TW
dc.subject	震測訊號處理	zh_TW
dc.subject	Hough Transform	en_US
dc.subject	Neural Networks	en_US
dc.subject	Pattern Analysis	en_US
dc.subject	Seismic Signal Processing	en_US
dc.title	赫夫轉換類神經網路於震測圖型之分析	zh_TW
dc.title	Hough Transform Neural Networks for Seismic Pattern Analysis	en_US
dc.type	Thesis	en_US
dc.contributor.department	資訊科學與工程研究所	zh_TW
顯示於類別：	畢業論文