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Optimal Parameter Height Ridges
Journal of Visual Communication and Image Representation, 2002Ridges have shown themselves to be extremely useful for various image analysis tasks. This paper presents a number of common ridges used in image processing within a common framework and then proproses a defining property for ridges, the subdimensional maximum property.
Jacob D. Furst, Stephen M. Pizer
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Parameter optimization of interval Type-2 fuzzy neural networks based on PSO and BBBC methods
IEEE/CAA Journal of Automatica Sinica, 2019Interval type-2 fuzzy neural networks ( IT2FNNs ) can be seen as the hybridization of interval type-2 fuzzy systems ( IT2FSs ) and neural networks ( NNs ). Thus, they naturally inherit the merits of both IT2FSs and NNs.
Jia-jun Wang, T. Kumbasar
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Wire EDM process parameter optimization for D2 steel
, 2020Wire electrical discharge machining (WEDM) is most suited for machining conductive materials when precision is required. There are a large number of input control parameters that govern the WEDM performance. Thus, it becomes essential to optimize process
Ajay Kumar +8 more
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Optimization of Parameters for an USV Autopilot
2015The purpose of this research is to provide an insight into the effect of different parameters on the autopilot design. Various independent parameters of three autopilots namely, proportional integral derivative, linear quadratic regulator and model predictive controller are analyzed and evaluated to obtain optimum performance.
Andy S. K. Annamalai +1 more
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Regret Transfer and Parameter Optimization
Proceedings of the AAAI Conference on Artificial Intelligence, 2014Regret matching is a widely-used algorithm for learning how to act. We begin by proving that regrets on actions in one setting (game) can be transferred to warm start the regrets for solving a different setting with same structure but different payoffs that can be written as a function of parameters.
Noam Brown, Tuomas Sandholm
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2018
Parameter optimization is treated as an introduction. Unconstrained and constrained cases are analysed. Necessary and sufficient conditions are derived and illustrated. Parameter optimization utilizes the theory of ordinary maxima and minima. The problem is to determine the value of the m-vector u of independent parameters (decision variables) to ...
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Parameter optimization is treated as an introduction. Unconstrained and constrained cases are analysed. Necessary and sufficient conditions are derived and illustrated. Parameter optimization utilizes the theory of ordinary maxima and minima. The problem is to determine the value of the m-vector u of independent parameters (decision variables) to ...
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Parameter optimized hyperstable controllers
[1991] Proceedings of the 30th IEEE Conference on Decision and Control, 2002A parameterization of hyperstable linear time-invariant controllers is proposed, where the free parameters are to be determined by parameter optimization in order to meet various design requirements of the closed-loop system. The class of hyperstable controllers is of special importance since a control loop with hyperstable controller is guaranteed to ...
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Parameter Optimization and Larger Precision for (T)FHE
Journal of Cryptology, 2023Loris Bergerat +6 more
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Parameter optimization for spray coating
Advances in Engineering Software, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexander Kout, Heinrich Müller
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Cutting parameter optimization for machining operations considering carbon emissions
Journal of Cleaner Production, 2019With the aggravation of global warming and implementation of carbon policies such as carbon tax and carbon labeling, manufacturing enterprises have to cope with the stress from eco-environment and production cost. Cutting parameters in the part machining
Guanghui Zhou +4 more
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