Classification of the microarray data using neural networks
The diversity of the application areas of neural network is a recommendation of the strengths and flexibility of neural networks. There are many application areas for neural networks like aerospace, automotive, electronics, entertainment, food industry, insurance, marketing, manufacturing, medical,...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/4847 |
| _version_ | 1826123927505600512 |
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| author | Ma April Maung |
| author2 | Saratchandran, Paramasivan |
| author_facet | Saratchandran, Paramasivan Ma April Maung |
| author_sort | Ma April Maung |
| collection | NTU |
| description | The diversity of the application areas of neural network is a recommendation of the strengths and flexibility of neural networks. There are many application areas for neural networks like aerospace, automotive, electronics, entertainment, food industry, insurance, marketing, manufacturing, medical, speech and telecommunications. Among them we only concentrate in medical application areas. We want to test the patients to find out the diseases. So we need to use the neural network and classify with using neural network algorithms. Among many algorithms, we choose the backpropagation and extreme learning machine algorithms to classify the best network architecture. We use the DNA microarray database for simulation. We considered three problems: MLL_Leukemia, Prostate Cancer and Central Nervous System. |
| first_indexed | 2024-10-01T06:12:20Z |
| format | Thesis |
| id | ntu-10356/4847 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T06:12:20Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/48472023-07-04T15:17:45Z Classification of the microarray data using neural networks Ma April Maung Saratchandran, Paramasivan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics DRNTU::Engineering::Computer science and engineering::Computing methodologies The diversity of the application areas of neural network is a recommendation of the strengths and flexibility of neural networks. There are many application areas for neural networks like aerospace, automotive, electronics, entertainment, food industry, insurance, marketing, manufacturing, medical, speech and telecommunications. Among them we only concentrate in medical application areas. We want to test the patients to find out the diseases. So we need to use the neural network and classify with using neural network algorithms. Among many algorithms, we choose the backpropagation and extreme learning machine algorithms to classify the best network architecture. We use the DNA microarray database for simulation. We considered three problems: MLL_Leukemia, Prostate Cancer and Central Nervous System. Master of Science (Computer Control and Automation) 2008-09-17T09:59:49Z 2008-09-17T09:59:49Z 2005 2005 Thesis http://hdl.handle.net/10356/4847 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics DRNTU::Engineering::Computer science and engineering::Computing methodologies Ma April Maung Classification of the microarray data using neural networks |
| title | Classification of the microarray data using neural networks |
| title_full | Classification of the microarray data using neural networks |
| title_fullStr | Classification of the microarray data using neural networks |
| title_full_unstemmed | Classification of the microarray data using neural networks |
| title_short | Classification of the microarray data using neural networks |
| title_sort | classification of the microarray data using neural networks |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics DRNTU::Engineering::Computer science and engineering::Computing methodologies |
| url | http://hdl.handle.net/10356/4847 |
| work_keys_str_mv | AT maaprilmaung classificationofthemicroarraydatausingneuralnetworks |