Titlebook: Computational Statistics and Mathematical Modeling Methods in Intelligent Systems; Proceedings of 3rd C Radek Silhavy,Petr Silhavy,Zdenka P

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书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems影响因子(影响力)




书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems影响因子(影响力)学科排名




书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems网络公开度




书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems网络公开度学科排名




书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems被引频次




书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems被引频次学科排名




书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems年度引用




书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems年度引用学科排名




书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems读者反馈




书目名称Computational Statistics and Mathematical Modeling Methods in Intelligent Systems读者反馈学科排名

averse

Carbon Footprinting in Supply Chainshors obtain experimental dependences of the positive electrode capacity on the active layer thickness and various current density values. Theoretical analysis of the obtained experimental data is performed. Here, the issues that are of considerable interest of the LOPS discharge theory are discussed.

PURG

Sustainable Supply Chains: Introduction,arch-based meta-heuristic algorithms including genetic algorithm. In this paper, we will survey previous works that used genetic algorithm to achieve optimization goals under the umbrella of program transformation.

繁忙

Blanka Tundys,Grażyna Kędzia,Magdalena Ziołoments in the fields of big data and machine learning in which the features are extracted using a method based on scalable hypothesis tests and then the data is predicted using three machine learning classifiers namely, AdaBoost, Gradient Boosted Trees and Random Forest.

UNT

Meander

Meander

A Survey on Program Analysis and Transformation,arch-based meta-heuristic algorithms including genetic algorithm. In this paper, we will survey previous works that used genetic algorithm to achieve optimization goals under the umbrella of program transformation.

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inspiration

Conference proceedings 2019are engineering in the context of the intelligent systems...This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality res

贪婪性

Green Network Design and Facility Locationage. After brief introduction we introduce the nature and character of given data. In following chapters of this paper we introduce used methods and present the results. The whole data analysis was performed in Phyton.