Results 241 to 250 of about 701,150 (283)
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NEOCOGNITRON'S PARAMETER TUNING BY GENETIC ALGORITHMS
International Journal of Neural Systems, 1999The further study on the sensitivity analysis of Neocognitron is discussed in this paper. Fukushima's Neocognitron is capable of recognizing distorted patterns as well as tolerating positional shift. Supervised learning of the Neocognitron is fulfilled by training patterns layer by layer.
Shi, D., Dong, C., Yeung, D.S.
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Parameter Tuning of Stable Fuzzy Controllers
Journal of Intelligent and Robotic Systems, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dieulot, J.-Y., Borne, P.
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When parameter tuning actually is parameter control
Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011In this paper, we show that sequential parameter optimization (SPO), a method that was designed for (offline) parameter tuning, can be successfully used as a controller for multistart approaches of evolutionary algorithms (EA). We demonstrate this by replacing the restart heuristic of the IPOP-CMA-ES with the SPO algorithm. Experiments on the BBOB 2010
Simon Wessing +2 more
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International Journal of Web Services Research, 2019
QoS-aware service composition problem has been drawn great attention in recent years. As an NP-hard problem, high time complexity is inevitable if global optimization algorithms (such as integer programming) are adopted. Researchers applied various evolutionary algorithms to decrease the time complexity by looking for a near-optimum solution.
Ruilin Liu, Zhongjie Wang, Xiaofei Xu
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QoS-aware service composition problem has been drawn great attention in recent years. As an NP-hard problem, high time complexity is inevitable if global optimization algorithms (such as integer programming) are adopted. Researchers applied various evolutionary algorithms to decrease the time complexity by looking for a near-optimum solution.
Ruilin Liu, Zhongjie Wang, Xiaofei Xu
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2016
Having shown that EMAS approaches are effective in solving selected benchmark and real-life problems, it would be interesting to take an insight into the exact features of the most important mechanism of EMAS, i.e. the distributed selection based on existence of non-renewable resource.
Aleksander Byrski +1 more
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Having shown that EMAS approaches are effective in solving selected benchmark and real-life problems, it would be interesting to take an insight into the exact features of the most important mechanism of EMAS, i.e. the distributed selection based on existence of non-renewable resource.
Aleksander Byrski +1 more
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Choosing a robustness tuning parameter
Journal of Statistical Computation and Simulation, 2005A novel method is proposed for choosing the tuning parameter associated with a family of robust estimators. It consists of minimising estimated mean squared error, an approach that requires pilot estimation of model parameters. The method is explored for the family of minimum distance estimators proposed by [Basu, A., Harris, I.R., Hjort, N.L.
J. Warwick, M. C. Jones
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Scalable parameter tuning for AVQ
IEEE Communications Letters, 2005This letter proposes a simple, scalable, practical and systematic rule for tuning the control parameter of the adaptive virtual queue (AVQ) active queue management scheme. An explicit stability condition of AVQ is proposed using classical control theory. Theoretical analyses as well as simulation results are used to validate the result.
null Liansheng Tan +4 more
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Tuning of 802.11e network parameters
IEEE Communications Letters, 2006This paper introduces a mechanism which dynamically tunes the parameters of the 802.11e contention-based access method.
J. Freitag +2 more
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Design weighting parameter tuning of multivariable self-tuning controllers
Computers & Electrical Engineering, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cho, Won Chul +2 more
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Parameter fine-tuning for robots
IEEE Control Systems Magazine, 1989Fine-tuning the parameters of robots is a time-consuming and costly procedure, so that many commercial robot companies cannot afford to do it and the physical capability of robots is not fully realized. Autotune, a computer procedure that automatically tunes parameters of feedback compensators for robot arms in order to circumvent manual tuning and ...
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