Train Neural Networks with a Hybrid Method That Incorporates a Novel Simulated Annealing Procedure

Train Neural Networks with a Hybrid Method That Incorporates a Novel Simulated Annealing Procedure

In this paper, an innovative hybrid technique is proposed for the efficient training of artificial neural networks, which are used both in class learning problems and in data fitting problems. This hybrid technique combines the well-tested technique of Genetic Algorithms with an innovative variant o...

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Bibliographic Details
Main Authors: Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:AppliedMath
Subjects:
artificial neural networks
evolutionary techniques
genetic algorithms
simulated annealing
Online Access:https://www.mdpi.com/2673-9909/4/3/61
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