Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition

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...

Full description

Bibliographic Details
Main Authors: Muhammad Arif, Mohamad, Muhammad Aliif, Ahmad
Format: Article
Language:English
Published: Asian Scholars Network 2024
Subjects:
QA75 Electronic computers. Computer science
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/41158/
http://umpir.ump.edu.my/id/eprint/41158/1/Improved%20Artificial%20Neural%20Network%20Classification%20Model%20based%20Metaheuristic%20Optimization%20for%20Handwritten%20Character%20Recognition.pdf

Internet

http://umpir.ump.edu.my/id/eprint/41158/
http://umpir.ump.edu.my/id/eprint/41158/1/Improved%20Artificial%20Neural%20Network%20Classification%20Model%20based%20Metaheuristic%20Optimization%20for%20Handwritten%20Character%20Recognition.pdf

Similar Items