Methods of Constructing Time Series for Predicting Local Time Scales by Means of a GMDH-Type Neural Network
Ensuring the best possible stability of UTC(k) (local time scale) and its compliance with the UTC scale (Universal Coordinated Time) forces predicting the [UTC-UTC(k)] deviations, the article presents the results of work on two methods of constructing time series (TS) for a neural network (NN), incr...
Main Authors: | Łukasz Sobolewski, Wiesław Miczulski |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/12/5615 |
Similar Items
-
Predicting the Lithuanian Timescale UTC(LT) by means of GMDH neural network
by: Łukasz Sobolewski
Published: (2017-12-01) -
Using GMDH Neural Networks to Model the Power and Torque of a Stirling Engine
by: Mohammad Hossein Ahmadi, et al.
Published: (2015-02-01) -
A mathematical model to predict particleboard properties using the
GMDH-type neural network and genetic algorithm
by: Zahra Jahanilomer, et al.
Published: (2014-09-01) -
Predicting Customer Lifetime Value Based on Financial and Demographic Characteristics Using GMDH Neural Network
Case Study: Individual Customers of a Private Bank of Iran
by: امیر خانلری, et al.
Published: (2017-02-01) -
EPS Modeling and Prediction of Listed Companies in Tehran Stock Exchange with GMDH Neural Network Approach
by: Anvary Rostamy Anvary Rostamy, et al.
Published: (2013-05-01)