Results 61 to 70 of about 765,290 (198)
Data-driven adaptive setting algorithm for coiling temperature model parameter
工程科学学报, 2020 To improve the coiling temperature control accuracy for change-over strip or the first coil of batch hot-rolling, data mining technology was adopted to infer the water cooling learning coefficient which is used in coiling temperature model preset for ...
Liang-gui PENG +4 more
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On Adaptive Grad-Div Parameter Selection
Journal of Scientific Computing, 2022 We propose, analyze and test a new adaptive penalty scheme that picks the penalty parameter $ε$ element by element small where $\nabla\cdot u^h$ is large. We start by analyzing and testing the new scheme on the most simple but interesting setting, the Stokes problem. Finally, we extend and test the algorithm on the incompressible Navier Stokes equation
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Adaptation of the Scaling Factor Based on the Success Rate in Differential Evolution
MathematicsDifferential evolution is a popular heuristic black-box numerical optimization algorithm which is often used due to its simplicity and efficiency. Parameter adaptation is one of the main directions of study regarding the differential evolution algorithm.
Vladimir Stanovov, Eugene Semenkin
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SensorsIn optical sensing, signal demodulation often degrades fine spectral data, particularly in spectroscopic measurements affected by Doppler noise, aliasing, and circuit noise.
Yupeng Wu +7 more
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Automatic design of mutation parameter adaptation for differential evolution [PDF]
ITM Web of ConferencesIn this paper the Efficient Global Optimization algorithm is applied to design the adaptation strategy for mutation parameter in Differential Evolution.
Vladimir Stanovov, Semenkin Eugene
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Important role of genetic drift in rapid polygenic adaptation
Ecology and Evolution, 2020 We analyzed a model to determine the factors that facilitate or limit rapid polygenic adaptation. This model includes population genetic terms of mutation and both directional and stabilizing selection on a highly polygenic trait in a diploid population ...
Sona John, Wolfgang Stephan
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Mamba-DQN: Adaptively Tunes Visual SLAM Parameters Based on Historical Observation DQN
Applied SciencesThe parameter configuration of traditional visual SLAM algorithms usually relies on expert experience and extensive experiments, and the parameter configuration needs to be reset as the scene changes, which is a complex and tedious process.
Xubo Ma +3 more
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Parameter efficient speaker adaptation for enhancement of bone-conducted speech [PDF]
JASA Express LettersBone conducted speech (BCS) signals have reduced intelligibility and quality due to a limited frequency response and speaker-specific distortion introduced by bone conduction pathways.
Daniel Fogerty +3 more
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Adaptive estimation of speech parameters [PDF]
Proceedings of COMSIG '94 - 1994 South African Symposium on Communications and Signal Processing, 2002 Linear predictive coding (LPC), and transformations of it, is currently the most popular way of analysing speech signals. Major limitations of using a frame-based technique are that each frame is analysed in isolation of the rest while assuming the excitation source to be a white noise process.
J.A.L. Basson, J.A. du Preez
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Memory-based Parameter Adaptation
, 2018 Deep neural networks have excelled on a wide range of problems, from vision to language and game playing. Neural networks very gradually incorporate information into weights as they process data, requiring very low learning rates. If the training distribution shifts, the network is slow to adapt, and when it does adapt, it typically performs badly on ...
Sprechmann, Pablo +9 more
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