Results 11 to 20 of about 331,515 (268)
METHOD PARAMETER OPTIMIZATION ROCK CRUSHING.
Set of parameters characterizing the process of interdependence rock crushing and the technique of joint optimization of the above parameters.
Yu. A. Chpurgalov, M. Yu. Chpurgalova
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Parameter optimization in general Scan methods
The present work shows an application of Experimental Design to the methods for disease cluster detection: Classic Scan and Fuzzy Scan. A non parametric experimental design for two factors is used. The fundamental target is to study the influence of the
Laureano Rodríguez Corvea +4 more
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For 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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A number of suggestions are made based on the improved evolutionary algorithm and using the polishing parameter optimization of an industrial robot as an example to optimize the industrial process parameter control. By fitting a cubic B-spline curve, the
Yao Cenglin +4 more
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Multi-parameter detector optimization: SHiP case [PDF]
SHiP (Search for Hidden Particles) and the associated SPS Beam Dump Facility is a new general-purpose experiment proposed at the SPS to search for "hidden" particles as predicted by a very large number of recently elaborated models of Hidden Sectors ...
Kurbatov Evgeny +2 more
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Density-Based Penalty Parameter Optimization on C-SVM
The support vector machine (SVM) is one of the most widely used approaches for data classification and regression. SVM achieves the largest distance between the positive and negative support vectors, which neglects the remote instances away from the SVM ...
Yun Liu +3 more
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Machine-Learning-Based Design Optimization of Chassis Bushings
In this work, a method is developed for the component design of chassis bushings with contoured inner cores, aided by artificial neural networks (ANNs) and design optimization.
Eric Töpel +4 more
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Evolutionary Algorithms for Tracking Algorithm Parameter Optimization [PDF]
The reconstruction of charged particle trajectories, known as tracking, is one of the most complex and CPU consuming parts of event processing in high energy particle physics experiments.
Chatain Peter +2 more
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Single objective real-parameter optimization problems exist in many areas of the real world, and Differential Evolution (DE) is a powerful population based stochastic optimization approach for tackling such problems.
Zhenyu Meng +3 more
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A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]
This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
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