On Stable Parameter Estimation and Forecasting in Epidemiology by the Levenberg-Marquardt Algorithm with Broyden's Rank-one Updates for the Jacobian Operator.
Sign Up to like & getrecommendations! Published in 2019 at "Bulletin of mathematical biology"
DOI: 10.1007/s11538-019-00650-9
Abstract: Rigorously calibrating dynamic models with time-series data can pose roadblocks. Oftentimes, the problem is ill-posed and one has to rely on appropriate regularization techniques to ensure stable parameter estimation from which forward projections with quantified… read more here.
Keywords: levenberg marquardt; parameter estimation; epidemiology; parameter ... See more keywords
Adaptive Operator-Based Spectral Deconvolution With the Levenberg-Marquardt Algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Photonic Sensors"
DOI: 10.1007/s13320-019-0571-8
Abstract: Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer. Spectral deconvolution is an effective restoration method to solve this problem. Based on the theory of the… read more here.
Keywords: levenberg marquardt; spectral deconvolution; method; adaptive operator ... See more keywords
Stability Analysis of the Modified Levenberg–Marquardt Algorithm for the Artificial Neural Network Training
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3015200
Abstract: The Levenberg–Marquardt and Newton are two algorithms that use the Hessian for the artificial neural network learning. In this article, we propose a modified Levenberg–Marquardt algorithm for the artificial neural network learning containing the training… read more here.
Keywords: neural network; levenberg marquardt; marquardt; artificial neural ... See more keywords
A Levenberg-Marquardt algorithm for sparse identification of dynamical systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3157963
Abstract: Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting. In this article,… read more here.
Keywords: sparse identification; identification; marquardt algorithm; identification dynamical ... See more keywords