Feature extraction for neural-fuzzy inference system
Currently, not many attempts are made to use neural-fuzzy inference system for recognizing primitive features of an input image. The objective of this paper is to propose a method of feature extraction so as the features obtained can be trained in a novel neural-fuzzy inference system called POP-CHA...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38845/ http://irep.iium.edu.my/38845/1/Feature_Extraction_for_Neural-Fuzzy_Inference_System.pdf |
| _version_ | 1848781680131702784 |
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| author | Quek, Chai See Ng, Goek Abdul Rahman, Abdul Wahab |
| author_facet | Quek, Chai See Ng, Goek Abdul Rahman, Abdul Wahab |
| author_sort | Quek, Chai |
| building | IIUM Repository |
| collection | Online Access |
| description | Currently, not many attempts are made to use neural-fuzzy inference system for recognizing primitive features of an input image. The objective of this paper is to propose a method of feature extraction so as the features obtained can be trained in a novel neural-fuzzy inference system called POP-CHAR. Common features of digit characters are extracted and converted into vectors. The neural-fuzzy inference system can be trained from the primitive feature vectors and produce good results. Once the fuzzy neural network is trained, it can be used to recognize digits. |
| first_indexed | 2025-11-14T15:53:24Z |
| format | Proceeding Paper |
| id | iium-38845 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:53:24Z |
| publishDate | 2003 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-388452020-12-16T15:45:24Z http://irep.iium.edu.my/38845/ Feature extraction for neural-fuzzy inference system Quek, Chai See Ng, Goek Abdul Rahman, Abdul Wahab T Technology (General) Currently, not many attempts are made to use neural-fuzzy inference system for recognizing primitive features of an input image. The objective of this paper is to propose a method of feature extraction so as the features obtained can be trained in a novel neural-fuzzy inference system called POP-CHAR. Common features of digit characters are extracted and converted into vectors. The neural-fuzzy inference system can be trained from the primitive feature vectors and produce good results. Once the fuzzy neural network is trained, it can be used to recognize digits. 2003-07 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/38845/1/Feature_Extraction_for_Neural-Fuzzy_Inference_System.pdf Quek, Chai and See Ng, Goek and Abdul Rahman, Abdul Wahab (2003) Feature extraction for neural-fuzzy inference system. In: International Joint Conference on Neural Network (IJCNN 2003), 20-24 July 2003 , Portland, Oregon. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1223702 |
| spellingShingle | T Technology (General) Quek, Chai See Ng, Goek Abdul Rahman, Abdul Wahab Feature extraction for neural-fuzzy inference system |
| title | Feature extraction for neural-fuzzy inference system |
| title_full | Feature extraction for neural-fuzzy inference system |
| title_fullStr | Feature extraction for neural-fuzzy inference system |
| title_full_unstemmed | Feature extraction for neural-fuzzy inference system |
| title_short | Feature extraction for neural-fuzzy inference system |
| title_sort | feature extraction for neural-fuzzy inference system |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/38845/ http://irep.iium.edu.my/38845/ http://irep.iium.edu.my/38845/1/Feature_Extraction_for_Neural-Fuzzy_Inference_System.pdf |