- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Characters and Digits Recognition Using Neural Network Learned by Particle Swarm Optimization | ||
| Diyala Journal For Pure Science | ||
| Article 1, Volume 10, Issue 2, 2014, Pages 73-91 | ||
| Author | ||
| Khamis A. Yousif | ||
| Abstract | ||
| The meaning of the Particle Swarm Optimization (PSO) refers to a relatively new family of algorithms that may be used to find optimal (or near optimal) solutions to numerical and qualitative problems. Neural Network is an information processing system that has been developed as generalization models of human cognition of neural biology. In this paper the neural network learned by PSO method to solve one of pattern recognition problems which is considered as one of the important applications in the classification field,instead of using Back Propagation (BP) or Genetic Algorithm (GA) methods. The suggested method is found to learn the NN, to solve characters and digits or decimal numbers (0..9) recognition problem, by modifying the NN weights, this is done by calculating the fitness value which is considered as a threshold value. A comparison studies are made between PSO and Back Propagation (BP) methods in NN learning to specify which is better in solving letter recognition problem. | ||
| Keywords | ||
| neural network; artificial neural network; Particle swarm optimization; Pattern Recognition; Back Propagation; Classification field | ||
|
Statistics Article View: 232 PDF Download: 84 |
||