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Survey of Optimization Algorithms in Modern Neural Networks

Survey of Optimization Algorithms in Modern Neural Networks

The main goal of machine learning is the creation of self-learning algorithms in many areas of human activity. It allows a replacement of a person with artificial intelligence in seeking to expand production. The theory of artificial neural networks, which have already replaced humans in many proble...

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Huvudupphovsmän: Abdulkadirov, R. I., Абдулкадиров, Р. И., Lyakhov, P. A., Ляхов, П. А., Nagornov, N. N., Нагорнов, Н. Н.
Materialtyp: Статья
Språk:English
Publicerad: 2023
Ämnen:
Approximation
Spiking neural networks
Bilevel optimization
Quasi-Newton methods
Gradient-free optimization
Graph neural networks
Quantum neural networks
Quantum computations
Physics-informed neural networks
Optimization methods
Fractional order optimization
Information geometry
Länkar:https://dspace.ncfu.ru/handle/20.500.12258/24231
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https://dspace.ncfu.ru/handle/20.500.12258/24231

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