A genetic algorithm to design neural network for coin recognition system | |
| Author | Rahayu, Dewi Agushinta |
| Call Number | AIT Thesis no. CS-94-40 |
| Subject(s) | Neural circuitry Genetic algorithms |
| Note | A thesis submitted in partial fulfillment of the requirements for degree of Master of Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Designing systems for coin recognition involve a large number of inputs to take into account due to such things as rotation inva1iance. We report here an implementation of a coin recognition system based on Neural Networks. The system is trained using back-propagation algorithm. The number of inputs required can be declared using a genetic algorithm. The experiments carried out a Japanese, Korean, Indonesian and Thailand coins show a significant reduction in the number of inputs required thus leading to the simplicity of the coin recognition system. |
| Year | 1994 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Sadananda, Ramakoti |
| Examination Committee(s) | Murai, Shunji ; Qi Yulu |
| Scholarship Donor(s) | Yayasan Gunada1ma |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 1994 |