Advantages of using factorisation machines as a statistical modelling technique

2021 ◽  
Vol 55 (2) ◽  
pp. 125-144
Author(s):  
Erika Slabber ◽  
Tanja Verster ◽  
Riaan De Jongh
Keyword(s):  
Statistical Modelling ◽  
Modelling Technique

scholarly journals P1-321 Statistical modelling technique in forecasting of palliative oncotherapy load in hospitals

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A156-A156
Author(s):  
B. Sathian ◽  
J. Sreedharan ◽  
K. Sharan ◽  
S. Baboo ◽  
N. Chandrasekharan ◽  
...  
Keyword(s):  
Statistical Modelling ◽  
Modelling Technique

Climate change and food security in tropical West Africa – a dynamic-statistical modelling approach

Erdkunde ◽  
2008 ◽  
Vol 62 (2) ◽  
pp. 101-115 ◽  
Author(s):  
Heiko Paeth ◽  
Arcade Capo-Chichi ◽  
Wilfried Endlicher
Keyword(s):  
Climate Change ◽  
Food Security ◽  
West Africa ◽  
Statistical Modelling ◽  
Modelling Approach

Statistical Modelling of the Conductivity Performance of Poly(3,4- ethylene- dioxythiophene/poly(Styrene Sulfonic Acid) Films

2016 ◽  
Vol 12 (2) ◽  
pp. 124-140 ◽  
Author(s):  
Anang W.M. Diah ◽  
Clovia I. Holdsworth ◽  
Darfiana Nur ◽  
Eric Beh
Keyword(s):  
Sulfonic Acid ◽  
Statistical Modelling ◽  
Styrene Sulfonic Acid

scholarly journals Optimization Issues of a Hammer Mill Working Process Using Statistical Modelling

2021 ◽  
Vol 13 (2) ◽  
pp. 973
Author(s):  
Gigel Paraschiv ◽  
Georgiana Moiceanu ◽  
Gheorghe Voicu ◽  
Mihai Chitoiu ◽  
Petru Cardei ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Optimization Problem ◽  
Specific Energy Consumption ◽  
Statistical Modelling ◽  
Hammer Mill ◽  
Objective Functions ◽  
Working Process ◽  
Rotor Spinning ◽  
Milled Material ◽  
Different Types

Our paper presents the hammer mill working process optimization problem destined for milling energetic biomass (MiscanthusGiganteus and Salix Viminalis). For the study, functional and constructive parameters of the hammer mill were taken into consideration in order to reduce the specific energy consumption. The energy consumption dependency on the mill rotor spinning frequency and on the sieve orifices in use, as well as on the material feeding flow, in correlation with the vegetal biomass milling degree was the focus of the analysis. For obtaining this the hammer mill was successively equipped with 4 different types of hammers that grind the energetic biomass, which had a certain humidity content and an initial degree of reduction ratio of the material. In order to start the optimization process of hammer mill working process, 12 parameters were defined. The objective functions which minimize hammer mill energy consumption and maximize the milled material percentage with a certain specific granulation were established. The results obtained can serve as the basis for choosing the optimal working, constructive, and functional parameters of hammer mills in this field, and for a better design of future hammer mills.

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