Results 31 to 40 of about 8,464,096 (315)
On the Selection of Tuning Methodology of FOPID Controllers for the Control of Higher Order Processes [PDF]
, 2012 In this paper, a comparative study is done on the time and frequency domain tuning strategies for fractional order (FO) PID controllers to handle higher order processes. A new fractional order template for reduced parameter modeling of stable minimum/non-
Alomoush +56 more
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Stability, convergence, and robustness of deterministic multivariable self-tuning control
工程科学学报, 2019 Self-tuning control is an important approach to intelligent control system design because this kind of control system uses online parameter estimation (or learning) to derive the model of the plant, and as a result of model parameter estimation (or ...
ZHAO Li, ZHANG Wei-cun, CHU Tian-guang
doaj +1 more source
ACVIZ: A tool for the visual analysis of the configuration of algorithms with irace
Operations Research Perspectives, 2021 This paper introduces acviz, a tool that helps to analyze the automatic configuration of algorithms with irace. It provides a visual representation of the configuration process, allowing users to extract useful information, e.g.
Marcelo de Souza +3 more
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Naturalness and Fine Tuning in the NMSSM: Implications of Early LHC Results [PDF]
, 2011 We study the fine tuning in the parameter space of the semi-constrained NMSSM, where most soft Susy breaking parameters are universal at the GUT scale. We discuss the dependence of the fine tuning on the soft Susy breaking parameters M_1/2 and m0, and on
A Strumia +52 more
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Parameter-Efficient Fine-Tuning Design Spaces [PDF]
International Conference on Learning Representations, 2023 Parameter-efficient fine-tuning aims to achieve performance comparable to fine-tuning, using fewer trainable parameters. Several strategies (e.g., Adapters, prefix tuning, BitFit, and LoRA) have been proposed.
Jiaao Chen +5 more
semanticscholar +1 more source
A Methodology for Spark Parameter Tuning [PDF]
Big Data Research, 2018 Spark has been established as an attractive platform for big data analysis, since it manages to hide most of the complexities related to parallelism, fault tolerance and cluster setting from developers. However, this comes at the expense of having over 150 configurable parameters, the impact of which cannot be exhaustively examined due to the ...
Gounaris, Anastasios +1 more
openaire +3 more sources
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
doaj +3 more sources
Micro Injection Moulding Process Parameter Tuning [PDF]
Procedia CIRP, 2015 AbstractThis paper focuses on tuning the micro injection moulding process parameters. In this study four process parameters namely, barrel temperature, mould temperature, holding pressure and injection speed were considered. In order to capture their behaviour a L16 Orthogonal Array with two levels for each parameter was employed to produce the design ...
Packianather, Michael Sylvester +2 more
openaire +3 more sources
Data integration by multi-tuning parameter elastic net regression
BMC Bioinformatics, 2018 Background To integrate molecular features from multiple high-throughput platforms in prediction, a regression model that penalizes features from all platforms equally is commonly used.
Jie Liu +3 more
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Variable Selection and Parameter Tuning in High-Dimensional Prediction [PDF]
, 2010 In the context of classification using high-dimensional data such as microarray gene expression data, it is often useful to perform preliminary variable selection.
Bernau, Christoph +1 more
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