The back-propagation scheme in data classification : software and empirical guidelines | |
| Author | Juneja, Hursh |
| Call Number | AIT Thesis no. CS-92-10 |
| Subject(s) | Neural networks (Computer science) Information storage and retrieval systems |
| Note | A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | The present study explores the applicability of Neural Networks to the problem of classification which is of great importance in many areas. For this purpose, a common neural network with back propagation aigorithm was used. First of all, a fully menu-driven and user friendly software package was developed to facilitate the application of this type of networks. It caters to numerical data input and is a fas~ high precision tool for neural network training. From a careful comparative study, it was found that for both normal and non-normal data, neural networks can result in better classification accuracy as comp¥ed to classical statistical methods, the latter being based on the assumption of an underlying data distribution. An attempt has also been made to formulate some guieielines to answer the questions regarding selection of a suitable learning rate and changing of thi ~ rate for faster convergence while training without any modifications to the training software. A third guideline has been proposed to decide the extent of training itself. All these can be achieved by careful examination of error and actual output curves of the training. |
| 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) | Huynh, Ngoc Phien |
| Examination Committee(s) | Sadananda, Ramakoti ;Nagarur, Nagendra N. |
| Scholarship Donor(s) | The Government Of Norway ; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |