WEBIC: a web based business insolvency classifier using neural networks
Business insolvency is one of the major problems faced by decision makers, especially to detect the early symptom that may contribute to critical business condition.This paper discusses the implementation of neural networks in classifying business insolvency cases in Malaysia. The developed prototyp...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2003
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/20816/1/AIAI%202003%201%206.pdf |
| _version_ | 1803627974446022656 |
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| author | Siraj, Fadzilah Zakaria, Azizi Ab. Aziz, Azizi Abas, Zulhazlin |
| author_facet | Siraj, Fadzilah Zakaria, Azizi Ab. Aziz, Azizi Abas, Zulhazlin |
| author_sort | Siraj, Fadzilah |
| collection | UUM |
| description | Business insolvency is one of the major problems faced by decision makers, especially to detect the early symptom that may contribute to critical business condition.This paper discusses the implementation of neural networks in classifying business insolvency cases in Malaysia. The developed prototype can be accessed remotely via World Wide Web (WWW).For the development purposes, the data was obtained from the Registrar of Business / Companies (ROB/ROC), Kuala Lumpur Stock Exchange and Bank Negara Malaysia (Central Bank of
Malaysia).Several experiments were conducted to determine the most suitable parameters for the neural network model.Based on the experimental results, a network with an architecture of 11-6-1 with learning rate 0.1 and momentum term of 0.5. The prototype obtained 90.25% generalization
and therefore indicates that the prototype has
the potential to be used as a tool for classifying business insolvency.Hence, the prototype provides a basic framework for developing such a classifier |
| first_indexed | 2024-07-04T06:14:35Z |
| format | Conference or Workshop Item |
| id | uum-20816 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:14:35Z |
| publishDate | 2003 |
| record_format | dspace |
| spelling | uum-208162017-02-01T02:59:23Z https://repo.uum.edu.my/id/eprint/20816/ WEBIC: a web based business insolvency classifier using neural networks Siraj, Fadzilah Zakaria, Azizi Ab. Aziz, Azizi Abas, Zulhazlin QA75 Electronic computers. Computer science Business insolvency is one of the major problems faced by decision makers, especially to detect the early symptom that may contribute to critical business condition.This paper discusses the implementation of neural networks in classifying business insolvency cases in Malaysia. The developed prototype can be accessed remotely via World Wide Web (WWW).For the development purposes, the data was obtained from the Registrar of Business / Companies (ROB/ROC), Kuala Lumpur Stock Exchange and Bank Negara Malaysia (Central Bank of Malaysia).Several experiments were conducted to determine the most suitable parameters for the neural network model.Based on the experimental results, a network with an architecture of 11-6-1 with learning rate 0.1 and momentum term of 0.5. The prototype obtained 90.25% generalization and therefore indicates that the prototype has the potential to be used as a tool for classifying business insolvency.Hence, the prototype provides a basic framework for developing such a classifier 2003-06-24 Conference or Workshop Item NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/20816/1/AIAI%202003%201%206.pdf Siraj, Fadzilah and Zakaria, Azizi and Ab. Aziz, Azizi and Abas, Zulhazlin (2003) WEBIC: a web based business insolvency classifier using neural networks. In: Malaysian-Japan Seminar on Artificial Intelligence Applications in Industry, 24-25 June 2003, Park Plaza Hotel, Kuala Lumpur.. (Unpublished) |
| spellingShingle | QA75 Electronic computers. Computer science Siraj, Fadzilah Zakaria, Azizi Ab. Aziz, Azizi Abas, Zulhazlin WEBIC: a web based business insolvency classifier using neural networks |
| title | WEBIC: a web based business insolvency classifier using neural networks |
| title_full | WEBIC: a web based business insolvency classifier using neural networks |
| title_fullStr | WEBIC: a web based business insolvency classifier using neural networks |
| title_full_unstemmed | WEBIC: a web based business insolvency classifier using neural networks |
| title_short | WEBIC: a web based business insolvency classifier using neural networks |
| title_sort | webic a web based business insolvency classifier using neural networks |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/20816/1/AIAI%202003%201%206.pdf |
| work_keys_str_mv | AT sirajfadzilah webicawebbasedbusinessinsolvencyclassifierusingneuralnetworks AT zakariaazizi webicawebbasedbusinessinsolvencyclassifierusingneuralnetworks AT abazizazizi webicawebbasedbusinessinsolvencyclassifierusingneuralnetworks AT abaszulhazlin webicawebbasedbusinessinsolvencyclassifierusingneuralnetworks |