Dung beetle optimization with deep learning approach for solving inverse problems in predicting financial futures

Author:

Alnafisah HindORCID,Abdulrahim HiyamORCID,Hassaballa Abaker A.,Alsulami Amer,Mohamed Adil.O.Y.

Funder

Northern Border University

Publisher

Elsevier BV

Reference28 articles.

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2. Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems;Gao;Comput. Methods Appl. Mech. Eng.,2022

3. Meta-IRLSOT++: a meta-inverse reinforcement learning method for fast adaptation of trajectory prediction networks;Yang;Expert Syst. Appl.,2024

4. A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations;Aboelyazeed;Biogeosciences (Online),2023

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