Grey-Markov prediction model based on time-continuous Markov model and Levenberg-Marquardt algorithm

DOI10.1016/j.cnsns.2023.107678MaRDI QIDQ6189416

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Publication date: 8 February 2024

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

zbMATH Keywords

Levenberg-Marquardt algorithmGrey predictionGrey-Markov modeloptimal transition intensitiestime-continuous Markov

Mathematics Subject Classification ID

Inference from stochastic processes (62Mxx) Communication, information (94Axx) Numerical methods for mathematical programming, optimization and variational techniques (65Kxx)

Cites Work

• Retail sales forecasting with meta-learning
• Application of game theory on parameter optimization of the novel two-stage Nash nonlinear grey Bernoulli model
• Grey-Markov prediction model based on background value optimization and central-point triangular whitenization weight function
• A doubly relaxed minimal-norm Gauss-Newton method for underdetermined nonlinear least-squares problems
• A new Gauss–Newton-like method for nonlinear equations
• An interval feature discrete grey-Markov model based on data distributions and applications

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