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This document summarizes a research paper that proposes a hybrid model combining back propagation neural networks and genetic algorithms for cancer classification using gene expression data. Specifically, it uses a genetic algorithm to select relevant features for classification by a backpropagation neural network. The hybrid model aims to address limitations in existing feature selection algorithms and improve cancer diagnosis. A literature review covers previous work applying neural networks, genetic algo
- Author
- Huseyin Oztoprak
- Language
- EN