scholarly journals Accuracy Analysis Mechanism for Agriculture Data Using the Ensemble Neural Network Method

2016 ◽  
Vol 8 (8) ◽  
pp. 735 ◽  
Author(s):  
Hsu-Yang Kung ◽  
Ting-Huan Kuo ◽  
Chi-Hua Chen ◽  
Pei-Yu Tsai
Keyword(s):  
Neural Network ◽  
Accuracy Analysis ◽  
Neural Network Method ◽  
Network Method ◽  
Ensemble Neural Network

scholarly journals Application of adaptive ensemble neural network method for short-term load forecasting electrical engineering complex of regional electric grid

2021 ◽  
pp. 39-45
Author(s):  
N. A. Serebryakov ◽  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Electrical Engineering ◽  
Load Forecasting ◽  
Electric Grid ◽  
Short Term ◽  
Neural Network Method ◽  
Short Term Load Forecasting ◽  
Network Method ◽  
Ensemble Neural Network

The article is devoted to the problem of improving the accuracy of short-term load forecasting of electrical engineering complex of regional electric grid with the use deep machine learning tools. The effectiveness of the application of the adaptive learning algorithm for deep neural networks for short-term load forecasting of this electrical complex has been investigated. The issues of application of convolutional and recurrent neural networks for short-term load forecasting are considered. A comparative analysis of the accuracy of the short-term load forecasting of electrical engineering complex of regional electric grid obtained using the ensemble neural network method and single neural networks are produced

Methods for evaluation the manufacturability of a vehicle

2020 ◽  
pp. 152-160
Keyword(s):  
Neural Network ◽  
Initial Data ◽  
Comparative Data ◽  
Training Algorithm ◽  
Neural Network Method ◽  
The Neural Network ◽  
Network Method ◽  
Calculation Results ◽  
Production And Operation

Methods for evaluation the manufacturability of a vehicle in the field of production and operation based on an energy indicator, expert estimates and usage of a neural network are stated. By using the neural network method the manufacturability of a car in a complex and for individual units is considered. The preparation of the initial data at usage a neural network for predicting the manufacturability of a vehicle is shown; the training algorithm and the architecture for calculating the manufacturability of the main units are given. According to the calculation results, comparative data on the manufacturability vehicles of various brands are given.

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