ИССЛЕДОВАНИЕ ВОЗМОЖНОСТЕЙ НЕЙРОННОЙ СЕТИ ДЛЯ ПРОГНОЗИРОВАНИЯ ВЫРАБОТКИ БЕНЗИНА
Journal Title: INTERNATIONAL ACADEMY JOURNAL "Web of Scholar" - Year 2018, Vol 1, Issue 2
Abstract
The main stages and characteristics of the solution of the prediction problem on the basis of neural models are considered. A neural network is proposed for solving the problem of forecasting the production of gasoline. The article presents a forecasting technique using the capabilities of the Neural Network Toolbox of the mathematical package MATLAB. The criteria on the basis of which a model can be chosen to obtain the optimal result are considered.
Authors and Affiliations
Рена Хайямовна Зульфугарова
Keywords
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- EP ID EP412194
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