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...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2003
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| Online Access: | 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 |
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iium-388452014-10-21T07:51:42Z 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 Conference or Workshop Item 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 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Quek, Chai See Ng, Goek Abdul Rahman, Abdul Wahab Feature extraction for neural-fuzzy inference system |
| 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. |
| format |
Conference or Workshop Item |
| 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 |
| title |
Feature extraction for neural-fuzzy inference system |
| title_short |
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_sort |
feature extraction for neural-fuzzy inference system |
| publishDate |
2003 |
| 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 |
| first_indexed |
2023-09-18T20:55:48Z |
| last_indexed |
2023-09-18T20:55:48Z |
| _version_ |
1777410295864492032 |