Computational Optimizations for Machine Learning |
Autore | Gabbay Freddy |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (276 p.) |
Soggetto topico |
Research & information: general
Mathematics & science |
Soggetto non controllato |
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 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557610303321 |
Gabbay Freddy
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Mathematical Methods, Modelling and Applications |
Autore | Jódar Lucas |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (410 p.) |
Soggetto topico |
Research & information: general
Mathematics & science |
Soggetto non controllato |
mathematical modeling
infiltration well differential equations porous medium fractal conductivity model incomplete rankings Kendall's tau permutation graph competitive balance Spotify collocation volterra integral equation highly oscillatory convergence areal porosity volumetric porosity fractal area-volume relationship tortuosity factor joint probability corrugated box printing machine modified Delphi method analytic network process (ANP) supplier nonlinear system iterative method divided difference operator stability parameter plane dynamical plane random hyperbolic model random laplace transform numerical integration monte carlo method numerical simulation talbot algorithm stochastic perturbations random nonlinear oscillator maximum entropy principle probability density function stationary Gaussian noise random mean square parabolic model finite degree of randomness random finite difference scheme relativistic harmonic oscillator kinematics of a particle special relativity nonlinear problems in mechanics equations of motion in gravitational theory virus propagation stochastic modeling Gillespie algorithm conservative formulation multidimensional fragmentation equation weight functions finite volume scheme contamination plume advection-diffusion universal curves Dirichlet-to-Neumann map Schrödinger operator contagion effect difference equation elections labor condition mathematical compartmental discrete model political corruption revolving doors sensitivity analysis simulation numerical methods integro-interpolation method splitting method convergence of models standard deviation of the error diabetic retinopathy ocular fundus laser coagulation optical coherence tomography image processing segmentation safe treatment Hermite interpolation nodal systems unit circle circular membrane fluid-structure interaction differential-integral equations power series method closed-form solution time series model wavelet transform ARIMA model neural network NARX ionospheric parameters courtyard climate change microclimate Support Vector Regression (SVR) machine learning matrix functions matrix hyperbolic tangent matrix exponential Taylor series matrix polynomial evaluation |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580211803321 |
Jódar Lucas
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
Autore | Kim Tae-Woong |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (168 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
extreme spring drought
atmospheric teleconnection patterns drought prediction China SPI reference precipitation reference period climate change drought GAMLSS nonstationarity meteorological drought standardized precipitation evapotranspiration index climate variability seasonal drought drought return period extreme drought Indochina Peninsula Indian Ocean Dipole intentionally biased bootstrap method drought risk human activities quantitative attribution artificial neural network stochastic model ARIMA model drought forecasting southern Taiwan bivariate frequency analysis hydrologic risk global warming maize yield Songliao Plain maize belt comprehensive drought monitoring Hubei Province multivariate multisource data assessment forecasting |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557738803321 |
Kim Tae-Woong
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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