Results 271 to 280 of about 680,702 (313)

On optimal parameter selection

IEEE Transactions on Automatic Control, 1973
Pontryagin's results on optimal parameter selection problems [1, p. 193] have been found to contain some errors, as reported in Boltyanskii [2, p. 263] and Hofer and Sagirow [4]. In this note, it is shown that Boltyanskii's results (on optimal parameters) are easily derived from Gamkrelidze's general maximum principle [3], which, in contrast to the ...
Ahmed, N. U., Georganas, N. D.
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Cell density as a selective parameter in Tetrahymena

Experimental Cell Research, 1973
Abstract Cells of various metabolic states of Tetrahymena pyriformis were separated by banding in linear density gradients of Ficoll. Whereas log phase cultures generated three distinct bands, stationary cultures produced only two, and starved cells demonstrated a unique, higher density.
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Parameter selection framework for stereo correspondence

Machine Vision and Applications, 2020
In this paper, we propose a method to select parameter values for stereo matching methods. The proposed method was trained in a supervised manner, and an evolutionary algorithm is used to select optimized parameter values for a given domain and a cost function constructed to measure the goodness level of candidate parameter values.
Phuc Hong Nguyen, Chang Wook Ahn
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Parameter Dependence in Cumulative Selection

2014
Cumulative selection is a powerful process in which small changes accumulate over time because of their selective advantage. It is central to a gradualist approach to evolution, the validity of which has been called into question by proponents of alternative approaches to evolution.
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Selection of the Regularization Parameter

2016
The success of all currently available regularization techniques relies heavily on the proper choice of the regularization parameter. Although many regularization parameter selection methods (RPSMs) have been proposed, very few of them are used in engineering practice.
Mongi A. Abidi, Andrei V. Gribok, Joonki Paik   +2 more
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Selection and Composition of Personalization Parameters in Cloud

2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), 2016
Integrating e-learning personalization systems in cloud computing environment is a relatively recent trend in technology enhanced learning. Cloud computing is a new model that allows users to access applications through Internet. It is characterized by several advantages such as reducing the cost of development, high availability of information ...
Sameh Ghallabi, Fathi Essalmi, Mohamed Jemni, Kinshuk   +3 more
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SELECTION OF PARAMETERS FOR A FUZZY LOGIC CONTROLLER

Fuzzy Sets and Systems, 1979
Abstract The fuzzy logic controller is reviewed and its parameter are explicitly identified. The problem of initial selection and subsequent adjustment of the parameters are discussed in detail by example.
Braae, M., Rutherford, D. A.
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Selection of relaxation parameter

Mathematical Notes of the Academy of Sciences of the USSR, 1972
The rate of convergence of an iteration process in Hilbert space is estimated for the purpose of solving an equation with a non-self-adjoint operator. On the assumption that the real component of the operator is positive definite, we outline the selection of the relaxation parameter and present an estimate of the rate of convergence that is exact in ...
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Selection of Operating Parameters

2018
There are a number of parameters that influence the effectiveness of ultrasonic emulsification and these should be considered when operating or developing an ultrasonic emulsification protocol. This Chapter provides a brief guide to selecting appropriate operating conditions.
Thomas Seak Hou Leong, Sivakumar Manickam, Gregory J. O. Martin, Wu Li, Muthupandian Ashokkumar   +4 more
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SVR-parameters selection for image watermarking

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
An image digital watermarking technique using support vector regression (SVR) is proposed and researched in this paper. Firstly, the method of embedding and extracting watermarking from digital image is given. Then, the influence of SVR-learning parameters on the watermarking performance is analyzed, and the ideal value range of SVR-learning parameters
Chun-hua Li, Zheng-Ding Lu, Ke Zhou 0001
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