Results 31 to 40 of about 172,692 (312)
Quadrature Signal Generator with Improved Dc Offset Compensation
Advances in Electrical and Computer Engineering, 2021 In this paper a second order generalized integrator (SOGI) based quadrature signal generator (QSG) is proposed with the improved DC offset compensation parameter tuning procedure.
STOJIC, D.
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On Parameter Tuning for FAST TCP
IEEE Communications Letters, 2007 This paper studies the stability of FAST TCP using a continuous time model of a single-link single-source network. A sufficient condition on asymptotical stability of FAST TCP congestion window is obtained, which relates all the relevant parameters in FAST TCP and decouples the key parameter a from others.
Tan, Liansheng, Zhang, Wei, Yuan, Cao
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Proceedings of the VLDB Endowment, 2022 The ever-growing demand and complexity of machine learning are putting pressure on hyper-parameter tuning systems: while the evaluation cost of models continues to increase, the scalability of state-of-the-arts starts to become a crucial bottleneck.
Yang Li 0106 +7 more
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Parameter values after tuning. [PDF]
, 2016 Parameter values after tuning.
Hashem Tamimi (3359189) +2 more
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Tuning parameter for adjusting heat loss (flos). [PDF]
, 2020 Tuning parameter for adjusting heat loss (flos).
Abdullah Najib (5832470) +2 more
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High dimensional parameter tuning for event generators
European Physical Journal C: Particles and Fields, 2020 Monte Carlo Event Generators are important tools for the understanding of physics at particle colliders like the LHC. In order to best predict a wide variety of observables, the optimization of parameters in the Event Generators based on precision data ...
Johannes Bellm, Leif Gellersen
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Parameter tuning for Benchmark 1. [PDF]
, 2015 Parameter tuning for Benchmark 1.
José-Fernando Camacho-Vallejo (759284) +3 more
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Theoretical Foundations for Tuning Parameter Tolerance Design [PDF]
, 2000 In this paper a novel technique is presented to solve tolerance design problems. To achieve the desired performance tolerance, the technique uses a subtle, but significant, change in the design rather than increasing component precision.
McAdams, Daniel A., Wood, Kristin L.
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Optimization of Neural Network-Based Self-Tuning PID Controllers for Second Order Mechanical Systems
Applied Sciences, 2021 The feasibility of a neural network method was discussed in terms of a self-tuning proportional–integral–derivative (PID) controller. The proposed method was configured with two neural networks to dramatically reduce the number of tuning attempts with a ...
Yong-Seok Lee, Dong-Won Jang
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Optimizing Performance of Hadoop with Parameter Tuning
ITM Web of Conferences, 2017 Optimizing Hadoop with the parameter tuning is an effective way to greatly improve the performance, but it usually costs too much time to identify the optimal parameters configuration because there are many parameters. Users are always blindly adjust too
Chen Xiang +4 more
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