Temat: neural modelling - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Forecasting the Energy Consumption of an Industrial Enterprise Based on the Neural Network Model
Autorzy:: Kalinchyk, Vasyl
Meita, Olexandr
Pobigaylo, Vitalii
Kalinchyk, Vitalii
Filyanin, Danylo
Powiązania:: https://bibliotekanauki.pl/articles/2069887.pdf
Data publikacji:: 2021
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: electrical load
daily schedule
modelling
neural network
multilayer perceptron
MLP
Opis:: This research paper investigates the application of neural network models for forecasting in energy. The results of forecasting the weekly energy consumption of the enterprise according to the model of a multilayer perceptron at different values of neurons and training algorithms are given. The estimation and comparative analysis of models depending on model parameters is made.
Źródło:: Rocznik Ochrona Środowiska; 2021, 23; 484--492
1506-218X
Pojawia się w:: Rocznik Ochrona Środowiska
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Neural Network Model for Control of Operating Modes of Crushing and Grinding Complex
Autorzy:: Kalinchyk, Vasyl
Meita, Olexandr
Pobigaylo, Vitalii
Borychenko, Olena
Kalinchyk, Vitalii
Powiązania:: https://bibliotekanauki.pl/articles/2174915.pdf
Data publikacji:: 2022
Wydawca:: Politechnika Koszalińska. Wydawnictwo Uczelniane
Tematy:: classification
modelling
neural network
radial basis function network
RBF
multilayer perceptron
MLP
Opis:: This article investigates the application of neural network models to create automated control systems for industrial processes. We reviewed and analysed works on dispatch control and evaluation of equipment operating modes and the use of artificial neural networks to solve problems of this type. It is shown that the main requirements for identification models are the accuracy of estimation and ease of algorithm implementation. It is shown that artificial neural networks meet the requirements for accuracy of classification problems, ease of execution and speed. We considered the structures of neural networks that can be used to recognise the modes of operation of technological equipment. Application of the model and structure of networks with radial basis functions and multilayer perceptrons for identifying the mode of operation of equipment under given conditions is substantiated. The input conditions for constructing neural network models of two types with a given three-layer structure are offered. The results of training neural models on the model of a multilayer perceptron and a network with radial basis functions are presented. The estimation and comparative analysis of models depending on model parameters are made. It is shown that networks with radial basis functions offer greater accuracy in solving identification problems. The structural scheme of the automated process control system with mode identification based on artificial neural networks is offered.
Źródło:: Rocznik Ochrona Środowiska; 2022, 24; 26--40
1506-218X
Pojawia się w:: Rocznik Ochrona Środowiska
Dostawca treści:: Biblioteka Nauki

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