Discovery of Trend Behavior in TFT-LCD Industry with Self-Organizing Map
碩士 === 國立交通大學 === 管理學院碩士在職專班資訊管理組 === 97 === In recent years, the rapidly fluctuations of macroeconomics to make business enterprises more difficult to get the right views about industry trend and product development trend and corporations to face financial crises depending on the wrong decision at...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/53680335116155141430 |
id |
ndltd-TW-097NCTU5396024 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-097NCTU53960242015-10-13T15:42:19Z http://ndltd.ncl.edu.tw/handle/53680335116155141430 Discovery of Trend Behavior in TFT-LCD Industry with Self-Organizing Map 以自組織映射神經網路於TFT-LCD產業 Yang, Ching-Lung 楊景隆 碩士 國立交通大學 管理學院碩士在職專班資訊管理組 97 In recent years, the rapidly fluctuations of macroeconomics to make business enterprises more difficult to get the right views about industry trend and product development trend and corporations to face financial crises depending on the wrong decision at the same time ,especially in the TFT-LCD field belonging to “Two Trillion Double Stars Facilitation Plan” in Taiwan. The major factor of business development is to completely catch the business cycle base on the prediction of world wide demand, expansion of facility, and product development trend. However, prior researches on those business cycle models were used to do estimate with statistic analysis, Expert Opinion or static financial statements to support their conclusions. This research base on the above factors expectation is totally masters the industry trend under the dynamic environment. It is such a good result for a lot of scholars to use an unsupervised learning, Self-Organizing Map (SOM) of a neural network, to analyze those financial crises and the trend of constitution judgments. Therefore, this study proposes to use Self-Organizing Map and hierarchical SOM on “Business Operation and Product Development Model”. Business Operation Model of this paper is to come out leading signal of industry trend by judging industry trend in static and dynamic points of view with using unsupervised clustering and visualization capability of SOM and following to have the moving the trajectory into two dimension girds and finally analyze the steps. And, the Product Development Trend Model is to rely on product related data to establish with one-step variable process, normalization, and the Hierarchical SOM. The present research of “Business Operation Model” plays a leading role to effectively identify the application of TFT-LCD information in the business cycle and. “Product Development Model” can propose a suggestion to make an investing decision. Chen, An-Pin 陳安斌 2009 學位論文 ; thesis 54 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立交通大學 === 管理學院碩士在職專班資訊管理組 === 97 === In recent years, the rapidly fluctuations of macroeconomics to make business enterprises more difficult to get the right views about industry trend and product development trend and corporations to face financial crises depending on the wrong decision at the same time ,especially in the TFT-LCD field belonging to “Two Trillion Double Stars Facilitation Plan” in Taiwan. The major factor of business development is to completely catch the business cycle base on the prediction of world wide demand, expansion of facility, and product development trend. However, prior researches on those business cycle models were used to do estimate with statistic analysis, Expert Opinion or static financial statements to support their conclusions. This research base on the above factors expectation is totally masters the industry trend under the dynamic environment. It is such a good result for a lot of scholars to use an unsupervised learning, Self-Organizing Map (SOM) of a neural network, to analyze those financial crises and the trend of constitution judgments. Therefore, this study proposes to use Self-Organizing Map and hierarchical SOM on “Business Operation and Product Development Model”.
Business Operation Model of this paper is to come out leading signal of industry trend by judging industry trend in static and dynamic points of view with using unsupervised clustering and visualization capability of SOM and following to have the moving the trajectory into two dimension girds and finally analyze the steps. And, the Product Development Trend Model is to rely on product related data to establish with one-step variable process, normalization, and the Hierarchical SOM.
The present research of “Business Operation Model” plays a leading role to effectively identify the application of TFT-LCD information in the business cycle and. “Product Development Model” can propose a suggestion to make an investing decision.
|
author2 |
Chen, An-Pin |
author_facet |
Chen, An-Pin Yang, Ching-Lung 楊景隆 |
author |
Yang, Ching-Lung 楊景隆 |
spellingShingle |
Yang, Ching-Lung 楊景隆 Discovery of Trend Behavior in TFT-LCD Industry with Self-Organizing Map |
author_sort |
Yang, Ching-Lung |
title |
Discovery of Trend Behavior in TFT-LCD Industry with Self-Organizing Map |
title_short |
Discovery of Trend Behavior in TFT-LCD Industry with Self-Organizing Map |
title_full |
Discovery of Trend Behavior in TFT-LCD Industry with Self-Organizing Map |
title_fullStr |
Discovery of Trend Behavior in TFT-LCD Industry with Self-Organizing Map |
title_full_unstemmed |
Discovery of Trend Behavior in TFT-LCD Industry with Self-Organizing Map |
title_sort |
discovery of trend behavior in tft-lcd industry with self-organizing map |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/53680335116155141430 |
work_keys_str_mv |
AT yangchinglung discoveryoftrendbehaviorintftlcdindustrywithselforganizingmap AT yángjǐnglóng discoveryoftrendbehaviorintftlcdindustrywithselforganizingmap AT yangchinglung yǐzìzǔzhīyìngshèshénjīngwǎnglùyútftlcdchǎnyè AT yángjǐnglóng yǐzìzǔzhīyìngshèshénjīngwǎnglùyútftlcdchǎnyè |
_version_ |
1717767814128861184 |