Application of Monte Carlo stochastic optimization (MOST) to deep learning

DOI10.1016/J.MATCOM.2022.03.013OpenAlexW3197959863MaRDI QIDQ2672369

Hana Hebishima, Sin-ichi Inage

Publication date: 8 June 2022

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2109.02441

zbMATH Keywords

neural networkMonte Carlo methodgenetic algorithmoptimization algorithmsdeep learningAdam

Mathematics Subject Classification ID

Numerical analysis (65-XX) Operations research, mathematical programming (90-XX)

Related Items (1)

Proposal and validation of an optimization method using Monte Carlo method for multi-objective functions

Uses Software

• AdaGrad
• Adam
• ADADELTA

Cites Work

• Learning representations by back-propagating errors
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