نتایج جستجو برای: cost function modelling

تعداد نتایج: 1704659  

Journal: :E3S web of conferences 2021

The article is devoted to the study of model cost indicators wastewater treatment facilities as one factors for ensuring sustainable development. It noted that greatest contribution in terms formation provided by stage biological treatment. As part study, a techno-economic simulation was conducted compare two technological schemes: conventional activated sludge scheme aeration reactor and secon...

Journal: :Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 2014

Aim of this study is to estimate the optimized volume of reservoir in un-gaged basins and extract the estimation pattern of reservoir capacity for other regions. For this purpose, Ziarat was divided to 9 sub-basins using ArcGIS and the physiographical parameters was determined for each of them. for modelling of volume variation, demand before and after rain and also product before and after s...

The conformational energy values of 3-amino-4-nitraminofurazan (C2N4O3H2) molecule changing with two torsion angles were firstly calculated using density functional theory (DFT) with Lee-Young-Parr correlation functional and 6-31 G(d) basis set on Gaussian Program. And then, these obtained discrete data were made continuous by using Fuzzy Logic Modelling (FLM) and Artificial Neural Network (ANN...

B Regaiguia M.L Fares N Brinis N Maatougui O Chahaoui,

The comprehension of the anisotropy impacts on mechanical properties of the rolled steel sheets was investigated using a non-quadratic anisotropic yield function. In this study, experimental and modelling determination regarding the behaviour of an industrial rolled sheet for a ferritic stainless low-carbon steel were carried out. The parameters of the associated yield equation, derived from th...

2000
John A. Bullinaria Patricia M. Riddell

In modelling the development of the oculomotor control system using neural networks, it is important to determine the appropriate cost function on which to train the models. Whilst blur and disparity are fairly obvious error components, choosing the regularization component is less easy. In this paper we explore the consequences of a number of the most reasonable possibilities and investigate t...

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