Results 31 to 40 of about 12,666,425 (359)
Kongzhi Yu Xinxi JishuFor the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable ...
CHANG Sheng, WAN Yubin, JIANG Tao
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Paladyn, 2022 A number of suggestions are made based on the improved evolutionary algorithm and using the polishing parameter optimization of an industrial robot as an example to optimize the industrial process parameter control. By fitting a cubic B-spline curve, the
Yao Cenglin +4 more
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Adaptive particle swarm optimization [PDF]
, 2009 An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Zhan, Z-H. +3 more
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Multi-parameter detector optimization: SHiP case [PDF]
EPJ Web of ConferencesSHiP (Search for Hidden Particles) and the associated SPS Beam Dump Facility is a new general-purpose experiment proposed at the SPS to search for "hidden" particles as predicted by a very large number of recently elaborated models of Hidden Sectors ...
Kurbatov Evgeny +2 more
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Evolutionary Algorithms for Tracking Algorithm Parameter Optimization [PDF]
EPJ Web of Conferences, 2021 The reconstruction of charged particle trajectories, known as tracking, is one of the most complex and CPU consuming parts of event processing in high energy particle physics experiments.
Chatain Peter +2 more
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The Impact of Automated Parameter Optimization on Defect Prediction Models [PDF]
IEEE Transactions on Software Engineering, 2018 Defect prediction models—classifiers that identify defect-prone software modules—have configurable parameters that control their characteristics (e.g., the number of trees in a random forest).
C. Tantithamthavorn +3 more
semanticscholar +1 more source
Multibaseline Polarimetric SAR Interferometry Coherence Optimization [PDF]
, 2008 This letter analyzes different approaches for polarimetric optimization of multibaseline (MB) interferometric coherences. Two general methods are developed to simultaneously optimize coherences for more than two data sets. The first method provides every
Ferro-Famil, Laurent +2 more
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Density-Based Penalty Parameter Optimization on C-SVM
The Scientific World Journal, 2014 The support vector machine (SVM) is one of the most widely used approaches for data classification and regression. SVM achieves the largest distance between the positive and negative support vectors, which neglects the remote instances away from the SVM ...
Yun Liu +3 more
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Machine-Learning-Based Design Optimization of Chassis Bushings
Vehicles, 2023 In this work, a method is developed for the component design of chassis bushings with contoured inner cores, aided by artificial neural networks (ANNs) and design optimization.
Eric Töpel +4 more
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IEEE Access, 2020 Single objective real-parameter optimization problems exist in many areas of the real world, and Differential Evolution (DE) is a powerful population based stochastic optimization approach for tackling such problems.
Zhenyu Meng +3 more
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