Titlebook: Computational Science – ICCS 2020; 20th International C Valeria V. Krzhizhanovskaya,Gábor Závodszky,João T Conference proceedings 2020 Spri

Buchanan

书目名称Computational Science – ICCS 2020影响因子(影响力)




书目名称Computational Science – ICCS 2020影响因子(影响力)学科排名




书目名称Computational Science – ICCS 2020网络公开度




书目名称Computational Science – ICCS 2020网络公开度学科排名




书目名称Computational Science – ICCS 2020被引频次




书目名称Computational Science – ICCS 2020被引频次学科排名




书目名称Computational Science – ICCS 2020年度引用




书目名称Computational Science – ICCS 2020年度引用学科排名




书目名称Computational Science – ICCS 2020读者反馈




书目名称Computational Science – ICCS 2020读者反馈学科排名

单纯

Conference proceedings 2020 of Classifier Learning from Difficult Data; Track of Complex Social Systems through the Lens of Computational Science; Track of Computational Health; Track of Computational Methods for Emerging Problems in (Dis-)Information Analysis..Part V: Track of Computational Optimization, Modelling and Simula

极大的痛苦

Reduced-Cost Constrained Modeling of Microwave and Antenna Components: Recent Advancesgion contains the parameter vectors corresponding to high-quality designs w.r.t. the considered figures of interest, which allows for a dramatic reduction of the number of training samples needed to render reliable surrogates without formally restricting the parameter ranges. This paper reviews the

BIBLE

Aerodynamic Shape Optimization for Delaying Dynamic Stall of Airfoils by Regression Kriging samples are used to construct the metamodel, which is further refined with 20 infill points using expected improvement. The metamodel is validated with the normalized root mean square error based on 20 test data samples. The refined metamodel is used to search for the optimal design using a multi-s

词汇表

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networkss’ time advancement to synaptic connectivities. Timestepping is driven by scheduled neuron advancements based on interneuron synaptic delays, yielding an . execution. Benchmarks on 64 Cray XE6 compute nodes demonstrate reduced number of interpolation steps, higher numerical accuracy and lower runtim

矿石

矿石

Genetic Learning Particle Swarm Optimization with Interlaced Ring Topologytopology has been integrated with GL-PSO only (referred to as GL-PSOI) as well as with a flexible local search operator (referred to as GL-PSOIF). The new strategy was tested on a set of benchmark problems and a CEC2014 test suite. The results were compared with five different variants of PSO, inclu

orthodox

A Stochastic Birth-Death Model of Information Propagation Within Human Networks to multiple information recipients or listeners, each independent of one another, per a binomial distribution. We find that while in mixed populations, the fixation probability of the mutant message is strongly correlated with the talkativity (sample correlation .) and belief probability (.) of the

FOIL

languor