GROUPING STOCK ON JSX USES SELF ORGANIZING MAP NEURAL NETWORK MODEL

Fundamental Analysis is one of each approach which is used to know stock prospect and characteristic. But the data is used for information still in multi dimension. One of each anemia used to make simple dimension data is cluster analysis. Self Organizing Map is one of each clustering model base on...

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Main Author: Yano, Tatang
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/1684
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:1684
spelling id-itb.:16842004-12-02T05:39:35ZGROUPING STOCK ON JSX USES SELF ORGANIZING MAP NEURAL NETWORK MODEL Yano, Tatang Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/1684 Fundamental Analysis is one of each approach which is used to know stock prospect and characteristic. But the data is used for information still in multi dimension. One of each anemia used to make simple dimension data is cluster analysis. Self Organizing Map is one of each clustering model base on Unsupervised Neural Network algorilm. The objective of the study was to grouping stocks which were listed on alum Stock Exchange with Self Organizing Map model and to know financial ratio variables which have influence to stock price in the groups. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Fundamental Analysis is one of each approach which is used to know stock prospect and characteristic. But the data is used for information still in multi dimension. One of each anemia used to make simple dimension data is cluster analysis. Self Organizing Map is one of each clustering model base on Unsupervised Neural Network algorilm. The objective of the study was to grouping stocks which were listed on alum Stock Exchange with Self Organizing Map model and to know financial ratio variables which have influence to stock price in the groups.
format Theses
author Yano, Tatang
spellingShingle Yano, Tatang
GROUPING STOCK ON JSX USES SELF ORGANIZING MAP NEURAL NETWORK MODEL
author_facet Yano, Tatang
author_sort Yano, Tatang
title GROUPING STOCK ON JSX USES SELF ORGANIZING MAP NEURAL NETWORK MODEL
title_short GROUPING STOCK ON JSX USES SELF ORGANIZING MAP NEURAL NETWORK MODEL
title_full GROUPING STOCK ON JSX USES SELF ORGANIZING MAP NEURAL NETWORK MODEL
title_fullStr GROUPING STOCK ON JSX USES SELF ORGANIZING MAP NEURAL NETWORK MODEL
title_full_unstemmed GROUPING STOCK ON JSX USES SELF ORGANIZING MAP NEURAL NETWORK MODEL
title_sort grouping stock on jsx uses self organizing map neural network model
url https://digilib.itb.ac.id/gdl/view/1684
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