14   Artículos

 
en línea
Guzel Shkaberina, Leonid Verenev, Elena Tovbis, Natalia Rezova and Lev Kazakovtsev    
Automatic grouping (clustering) involves dividing a set of objects into subsets (groups) so that the objects from one subset are more similar to each other than to the objects from other subsets according to some criterion. Kohonen neural networks are a ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Cailin Li, Fan Lin, Aziguli Aizezi, Zeao Zhang, Yingqiang Song and Na Sun    
The development of high nature value farmland (HNVf) can effectively improve the problems of biodiversity reduction, non-point source pollution and carbon loss in intensive farmland. To this end, we developed a set of general indicators based on Landsat ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Marta Wlodarczyk-Sielicka and Jacek Lubczonek    
At the present time, spatial data are often acquired using varied remote sensing sensors and systems, which produce big data sets. One significant product from these data is a digital model of geographical surfaces, including the surface of the sea floor... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Mikhail Gorbiychuk,Olga Bila,Taras Humeniuk,Yaroslav Zaiachuk     Pág. 6 - 17
A problem of development of a method of optimal control of operation of natural gas superchargers by a criterion which both minimizes fuel gas consumption and takes into account power of nitrogen oxide emissions into atmosphere has been formulated. Techn... ver más
Revista: Eastern-European Journal of Enterprise Technologies    Formato: Electrónico

 
en línea
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The subject matter of the study is data clustering based on the ensemble of neural networks. The goal of the work is to create a new approach to solving the tasks of clustering in data streams when information is fed observation-by-observation in online ... ver más

 
en línea
Xianglong Wei, Yongjun Lu, Zhili Wang, Xingnian Liu and Siping Mo    
Little research has been done on the application of machine learning approaches to evaluating the damage level of river training structures on the Yangtze River. In this paper, two machine learning approaches to evaluating the damage level of spur dikes ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Sungwon Kim and Vijay P. Singh    
The objective of this study is to develop artificial neural network (ANN) models, including multilayer perceptron (MLP) and Kohonen self-organizing feature map (KSOFM), for spatial disaggregation of areal rainfall in the Wi-stream catchment, an Internati... ver más
Revista: Water    Formato: Electrónico

 
usuarios registrados
Song, Y H; Wan, H B; Johns, A T     Pág. 340 - 340
Revista: IET GENERATION, TRANSMISSION & DISTRIBUTION    Formato: Impreso

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