Advantages and Disadvantages of Learning a Multilayer Neural Network Using a Genetic Algorithm

Abstract

The advantages and disadvantages of learning a multilayer neural network using genetic algorithm are studied. Investigation was conducted on the basis of the developed software, which allows to detect indications of diseases by analyzing photographs of human organs` tissues. The Java programming language was used to implement the project. The software product consists of modules that implement: multilayer neural network, genetic algorithm and mechanism for reading and processing images from the file system. The genetic algorithm is used to calculate the initial values of synaptic weights, which are specified by the error propagation algorithm.