Influence of the Neural Network Hyperparameters on its Numerical Conditioning
In this paper, the task of assessment of numerical conditioning of multilayer perceptron, forecasting time series with sliding window method, has been considered. Performance of the forecasting perceptron with various hyperparameters sets, with different amount of neurons and various activation func...
Main Author: | S. V. Sholtanyuk |
---|---|
Format: | Article |
Language: | Russian |
Published: |
Establishment «The Main Information and Analytical Center of the Ministry of Education of the Republic of Belarus»
2020-04-01
|
Series: | Цифровая трансформация |
Subjects: | |
Online Access: | https://dt.giac.by/jour/article/view/478 |
Similar Items
-
The Prediction of Precious Metal Prices via Artificial Neural Network by Using RapidMiner
by: Ufuk Çelik, et al.
Published: (2017-06-01) -
Advanced approach to numerical forecasting using artificial neural networks
by: Michael Štencl, et al.
Published: (2009-01-01) -
Exchange rate prediction with multilayer perceptron neural network using gold price as external factor
by: Mohammad Fathian, et al.
Published: (2012-04-01) -
Method for forecasting changes in time series parameters in digital information management systems
by: Yuriy Kropotov, et al.
Published: (2018-12-01) -
Artificial chemical reaction optimization of neural networks for efficient prediction of stock market indices
by: S.C. Nayak, et al.
Published: (2017-09-01)