| Author | War War Khaing |
| Call Number | AIT Thesis no. CS-92-33 |
| Subject(s) | Neural networks (Computer science)
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of
Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | This work concerns layered, feed-forward network, learning a classification task by
backpropagation. Backpropagation was perfumed on-line in each training cycle and all processing
was analog. Larger networks are trained and redundant units are removed to produce smaller
network which can perform the same classification task as larger network. Two methods of
pruning : Stage I and Stage II are used. Two test for generalization are used -pattern which does
not have in the training set and noise distorted pattern in training set. Performance of
generalization are measured as total sum square error for all pattern. |
| Year | 1992 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Sadananda, Ramakoti |
| Examination Committee(s) | Nagarur, Nagendra N. ;Surapong Auwatanamongkol
|
| Scholarship Donor(s) | Royal Government of Thailand ; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |