Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4847
Title: Classification of the microarray data using neural networks
Authors: Ma April Maung
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
DRNTU::Engineering::Computer science and engineering::Computing methodologies
Issue Date: 2005
Abstract: 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.
URI: http://hdl.handle.net/10356/4847
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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