Akademik Veri Yönetim Sistemi
International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society, Illinois, Amerika Birleşik Devletleri, 30 Ekim - 02 Kasım 1997, cilt.19, ss.1391-1393
A neural network trained by the genetic algorithms (GANN) is presented. Each neuron of the network forms a closed region in the input space. The closed regions which are formed by the neurons overlap each other, like STAR Genetic algorithms are used to improve the classification performances of the magnetic resonance (MR) images with minimized number of neurons. GANN is examined comparatively with multilayer perceptron (MLP), and restricted coulomb energy (RCE). It is observed that GANN gives the best classification performance with less number of neurons after a short training time.