Now showing items 1-10 of 2737
Auditory nerve frequency tuning measured with forward-masked compound action potentials
Frequency selectivity is a fundamental cochlear property. Recent studies using otoacoustic emissions and psychophysical forward masking suggest that frequency selectivity is sharper in human than in common laboratory ...
Improving the Fine-Tuning of Metaheuristics: An Approach Combining Design of Experiments and Racing Algorithms
(Hindawi Ltd, 2017-01-01)
Usually, metaheuristic algorithms are adapted to a large set of problems by applying few modifications on parameters for each specific case. However, this flexibility demands a huge effort to correctly tune such parameters. ...
Improvement of tuned mass damper by using rotational inertia through tuned viscous mass damper
A new vibration control device called a rotational inertia double-tuned mass damper (RIDTMD) is proposed in this paper. The device consists of a tuned mass damper (TMD) in which the typical viscous damper is replaced with ...
A Heuristic for Optimization of Metaheuristics by Means of Statistical Methods
The fine-tuning of the algorithms parameters, specially, in metaheuristics, is not always trivial and often is performed by ad hoc methods according to the problem under analysis. Usually, incorrect settings influence both ...
New Trends in Sound Synthesis and Automatic Tuning of Electronic Musical Instruments
(Universidad de TarapacáFacultad de Ingeniería, 2003)
Frequency tuning of mechanical responses in the mammalian cochlea
The search for mechanisms responsible for the high sensitivity and sharp frequency tuning of first-order auditory neurons has produced surprising results. The cochlea, the mammalian auditory receptor, responds to acoustic ...
mrMoulder: A recommendation-based adaptive parameter tuning approach for big data processing platform
(Elsevier B.V., 2019)
© 2018 Elsevier B.V. Nowadays the world has entered the big data era. Big data processing platforms, such as Hadoop and Spark, are increasingly adopted by many applications, in which there are numerous parameters that can ...
Tuning-aided implicit space mapping
(Int. J. RF and Microwave CAE, 2008-09)
A statistical approach for the fine-tuning of metaheuristics: A case study combining design of experiments and racing algorithms
The fine-tuning of heuristics and metaheuristics exercises a great influence in both the solution process, as well as in the quality of results of optimization problems. The search for the best fit of these algorithms is ...