Adaptive Levenberg–Marquardt Algorithm: A New Optimization Strategy for Levenberg–Marquardt Neural Networks

Engineering data are often highly nonlinear and contain high-frequency noise, so the Levenberg–Marquardt (LM) algorithm may not converge when a neural network optimized by the algorithm is trained with engineering data. In this work, we analyzed the reasons for the LM neural network’s poor convergen...

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Bibliografiske detaljer

Principais autores:	Zhiqi Yan, Shisheng Zhong, Lin Lin, Zhiquan Cui
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2021-09-01
Serier:	Mathematics
Fag:	Levenberg–Marquardt algorithm convergence neural networks local minima optimization
Online adgang:	https://www.mdpi.com/2227-7390/9/17/2176
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