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 networks and art...

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Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:	ARIMA model artificial intelligence autoencoders bed roughness bio-inspired algorithms CNN architecture computational intelligence convolutional neural network deep compression deep learning deep neural networks DNN energy dissipation evolution of weights evolutionary algorithms evolutionary computation feature selection floating-point numbers FLOW-3D generalization error genetic algorithms hardware acceleration Heating hydraulic jumps low power machine learning Mathematics and Science meta-heuristic optimization metaheuristics search model predictive control multi-objective optimization nature inspired algorithms neural networks nonlinear systems online model selection online optimization precipitation nowcasting quantization radar data recurrent neural networks Reference, Information and Interdisciplinary subjects ReLU Research and information: general sensitivity analysis smart building soft computing swarm intelligence time series analysis training Ventilation and Air Conditioning (HVAC)
ISBN:	3036531874, 3036531866, 9783036531861, 9783036531878
Online Access:	Get full text
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