Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition
This study addresses the concerns regarding the performance of Handwritten Character Recognition (HCR) systems, focusing on the classification stage. It is widely acknowledged that the development of the classification model significantly impacts the overall performance of HCR. The problems identifi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Scholars Network
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41158/1/Improved%20Artificial%20Neural%20Network%20Classification%20Model%20based%20Metaheuristic%20Optimization%20for%20Handwritten%20Character%20Recognition.pdf http://umpir.ump.edu.my/id/eprint/41158/ https://myjms.mohe.gov.my/index.php/ijarei/article/view/26293 |
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