Results 11 to 20 of about 110,596 (265)
Data-driven approaches for identifying hyperparameters in multi-step retrosynthesis [PDF]
, 2023 Multi-step retrosynthesis problem can be solved by a search algorithm, such as Monte Carlo tree search (MCTS). The performance of multistep retrosynthesis, as measured by a trade-off in search time and route solvability, therefore depends on the ...
Lewis, Mervin +3 more
core +1 more source
Inference of geostatistical hyperparameters with the correlated pseudo-marginal method [PDF]
, 2023 We consider non-linear Bayesian inversion problems targeting the geostatistical hyperparameters of a random field describing hydrogeological or geophysical properties given hydrogeological or geophysical data.
Friedli, Lea +9 more
core +2 more sources
Harmonic loss evaluation of low voltage overhead lines based on CSO-SVR model [PDF]
电力工程技术, 2022 In view of the low calculation accuracy of physical analytical model of harmonic loss,a support vector regression (SVR) model based on crisscross optimization (CSO) algorithm is proposed to evaluate the harmonic loss of overhead lines.
MENG Anbo +5 more
doaj +1 more source
Comparative Analysis of Neural Networking and Regression Models for Time Series Forecasting
Цифровая трансформация, 2019 Applicability of neural nets in time series forecasting has been considered and researched. For this, training of neural network on various time series with preliminary selection of optimal hyperparameters has been performed.
S. V. Sholtanyuk
doaj +1 more source
, 2023 This table reports the hyperparameters. The hyperparameters are shared between the conditional autoencoder (CA) models except for the number of latent factors (K) and hidden layers. The CA model is specified by setting K and hidden layers.
Taehee Cho (16715399) +3 more
core +1 more source
Deep-Learning Model Selection and Parameter Estimation from a Wind Power Farm in Taiwan
Applied Sciences, 2022 Deep learning networks (DLNs) use multilayer neural networks for multiclass classification that exhibit better results in wind-power forecasting applications.
Wen-Hui Lin +5 more
doaj +1 more source
Applied Sciences, 2022 Motor Imagery (MI) classification using electroencephalography (EEG) has been extensively applied in healthcare scenarios for rehabilitation aims.
Souha Kamhi +7 more
doaj +1 more source