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

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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Bibliographic Details
Main Authors: Zhiqi Yan, Shisheng Zhong, Lin Lin, Zhiquan Cui
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Mathematics
Subjects:
Levenberg–Marquardt algorithm
convergence
neural networks
local minima
optimization
Online Access:https://www.mdpi.com/2227-7390/9/17/2176

Internet

https://www.mdpi.com/2227-7390/9/17/2176

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