Computational Optimizations for Machine Learning

Computational Optimizations for Machine Learning

The present book contains the 10 articles finally accepted for publication in the Special Issue "Computational Optimizations for Machine Learning" of the MDPI journal Mathematics, which cover a wide range of topics connected to the theory and applications of machine learning, neural networ...

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Збережено в:
Бібліографічні деталі
Інші автори: Gabbay, Freddy (Редактор)
Формат: Частина з книги
Опубліковано: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Предмети:
Research & information: general
Mathematics & science
ARIMA model
time series analysis
online optimization
online model selection
precipitation nowcasting
deep learning
autoencoders
radar data
generalization error
recurrent neural networks
machine learning
model predictive control
nonlinear systems
neural networks
low power
quantization
CNN architecture
multi-objective optimization
genetic algorithms
evolutionary computation
swarm intelligence
Heating, Ventilation and Air Conditioning (HVAC)
metaheuristics search
bio-inspired algorithms
smart building
soft computing
training
evolution of weights
artificial intelligence
deep neural networks
convolutional neural network
deep compression
DNN
ReLU
floating-point numbers
hardware acceleration
energy dissipation
FLOW-3D
hydraulic jumps
bed roughness
sensitivity analysis
feature selection
evolutionary algorithms
nature inspired algorithms
meta-heuristic optimization
computational intelligence
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