Переваги та недоліки навчання багатошарової нейронної мережі за допомогою генетичного алгоритму

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 lan...

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Datum:2022
Hauptverfasser: Ковальчук, М.Л., Уштан, П.І., Ушенко, Ю.О., Солтис, І.В.
Format: Artikel
Sprache:English
Veröffentlicht: Vinnytsia National Technical University 2022
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Online Zugang:https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/610
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Назва журналу:Optoelectronic Information-Power Technologies

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Optoelectronic Information-Power Technologies
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Zusammenfassung: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.