Results 21 to 30 of about 172,692 (312)
Efficient tuning parameter selection by cross-validated score in high dimensional models [PDF]
, 2016 As DNA microarray data contain relatively small sample size compared to the number of genes, high dimensional models are often employed. In high dimensional models, the selection of tuning parameter (or, penalty parameter) is often one of the crucial ...
Jung, Yoonsuh, Yoonsuh Jung
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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
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On the generality of parameter tuning in evolutionary planning [PDF]
Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010 Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has several parameters that need to be tuned, and the already excellent experimental results demonstrated by DaE on benchmarks from the International Planning Competition, at the level ...
Bibai, Jacques +3 more
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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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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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A self-organizing state-space-model approach for parameter estimation in Hodgkin-Huxley-type models of single neurons [PDF]
, 2012 Traditional approaches to the problem of parameter estimation in biophysical models of neurons and neural networks usually adopt a global search algorithm (for example, an evolutionary algorithm), often in combination with a local search method (such as ...
Aston, John A. D. +16 more
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Online automatic tuning and control for fed-batch cultivation [PDF]
, 2007 Performance of controllers applied in biotechnological production is often below expectation. Online automatic tuning has the capability to improve control performance by adjusting control parameters.
Straten, G., van +7 more
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Self-tuning method for a linear active disturbance rejection controller
工程科学学报, 2015 This paper introduces a parameter self-tuning algorithm based on dynamic response time series data mining to solve the parameter self-tuning difficulty of a linear active disturbance rejection controller(LADRC).
LI Yang, WANG Jing, ZHANG Yong-jun
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Parameter Tuning for Local-Search-Based Matheuristic Methods
Complexity, 2017 Algorithms that aim to solve optimisation problems by combining heuristics and mathematical programming have attracted researchers’ attention. These methods, also known as matheuristics, have been shown to perform especially well for large, complex ...
Guillermo Cabrera-Guerrero +5 more
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Effectiveness and limitations of parameter tuning in reducing biases of top-of-atmosphere radiation and clouds in MIROC version 5 [PDF]
Geoscientific Model Development, 2017 This study discusses how much of the biases in top-of-atmosphere (TOA) radiation and clouds can be removed by parameter tuning in the present-day simulation of a climate model in the Coupled Model Inter-comparison Project phase 5 (CMIP5) generation ...
T. Ogura +12 more
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