A proactive metaheuristic model for optimizing weights of artificial neural network

A proactive metaheuristic model for optimizing weights of artificial neural network

This paper proposes the  Particle Swarm Optimization model for enhancing the performance of an Artificial Neural Network. The learning process of Artificial Neural Network requires a long time to satisfy requirements because of processing complexity of the backpropagation algorithm that has been use...

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Hauptverfasser: Hakem Alsaeedi, Ali (VerfasserIn), Hussein Aljanabi, Ali (VerfasserIn), Ebady Manna, Mehdi (VerfasserIn), L. Albukhnefis, Adil (VerfasserIn)
Weitere Verfasser: 4 College of Computer Science and Information technology, University of Al-Qadisiyah (MitwirkendeR)
Format: EJournal Article
Veröffentlicht: Institute of Advanced Engineering and Science, 2020-11-01.
Schlagworte:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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