An Improved Adam Optimization Algorithm Combining Adaptive Coefficients and Composite Gradients Based on Randomized Block Coordinate Descent

An improved Adam optimization algorithm combining adaptive coefficients and composite gradients based on randomized block coordinate descent is proposed to address issues of the Adam algorithm such as slow convergence, the tendency to miss the global optimal solution, and the ineffectiveness of proc...

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Detalles Bibliográficos
Autores principales: Liu, Miaomiao, Yao, Dan, Liu, Zhigang, Guo, Jingfeng, Chen, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845049/
https://www.ncbi.nlm.nih.gov/pubmed/36660559
http://dx.doi.org/10.1155/2023/4765891

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845049/
https://www.ncbi.nlm.nih.gov/pubmed/36660559
http://dx.doi.org/10.1155/2023/4765891

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