A study of extended minimal resource allocation network (EMRAN) alogrithm for multi-category classification problems
67 p.
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| Format: | Thesis |
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2011
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| Online Access: | http://hdl.handle.net/10356/46916 |
| _version_ | 1824455020721995776 |
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| author | P. Karuppasami |
| author2 | Narasimhan Sundararajan |
| author_facet | Narasimhan Sundararajan P. Karuppasami |
| author_sort | P. Karuppasami |
| collection | NTU |
| description | 67 p. |
| first_indexed | 2025-02-19T03:31:34Z |
| format | Thesis |
| id | ntu-10356/46916 |
| institution | Nanyang Technological University |
| last_indexed | 2025-02-19T03:31:34Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/469162023-07-04T15:32:31Z A study of extended minimal resource allocation network (EMRAN) alogrithm for multi-category classification problems P. Karuppasami Narasimhan Sundararajan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems 67 p. This dissertation presents a Neural Network (NN) for multi-category classification problems and also presents the use of sequential learning algorithm, Extended Minimal Resource Allocating Network (EMRAN), to approximate the functional relationship between feature vector and class label. EMRAN uses Radial Basis Function (RBF) as its basic component. It has got growing and pruning strategy to find optimal hidden neurons. Its learning is based on Extended Kalman Filter (EKF) algorithm. In order to reduce the computational complexity, it updates only the winner neuron parameters. Master of Science (Computer Control and Automation) 2011-12-27T05:44:45Z 2011-12-27T05:44:45Z 2011 Thesis http://hdl.handle.net/10356/46916 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems P. Karuppasami A study of extended minimal resource allocation network (EMRAN) alogrithm for multi-category classification problems |
| title | A study of extended minimal resource allocation network (EMRAN) alogrithm for multi-category classification problems |
| title_full | A study of extended minimal resource allocation network (EMRAN) alogrithm for multi-category classification problems |
| title_fullStr | A study of extended minimal resource allocation network (EMRAN) alogrithm for multi-category classification problems |
| title_full_unstemmed | A study of extended minimal resource allocation network (EMRAN) alogrithm for multi-category classification problems |
| title_short | A study of extended minimal resource allocation network (EMRAN) alogrithm for multi-category classification problems |
| title_sort | study of extended minimal resource allocation network emran alogrithm for multi category classification problems |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | http://hdl.handle.net/10356/46916 |
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