Neural networks’ learning process acceleration

• Datum: 2020
• Hauptverfasser: Katerynych, L., Veres, M.M., Safarov, E.
• Format: Artikel
• Sprache: English
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2020
• Schlagworte: multi-core CPUs; artificial neural networks; artificial neuron; genetic algorithm; selection; crossing; mutation; parallel computing; UDC 004.4
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/423
• Назва журналу: Problems in programming

This study is devoted to evaluating the process of training of a parallel system in the form of an artificial neural network, which is built using a genetic algorithm. The methods that allow to achieve this goal are computer simulation of a neural network on multi-core CPUs and a genetic algorithm f...