Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the …
The daily reference evapotranspiration (ET o) must be accurately forecasted to improve real-
time irrigation scheduling and decision-making for water resources allocation. In this study …
time irrigation scheduling and decision-making for water resources allocation. In this study …
Forecasting house prices in Iran using GMDH
Purpose An accurate predictive model for forecasting urban housing price in Isfahan can be
useful for sellers and owners to take more appropriate actions about housing supplying …
useful for sellers and owners to take more appropriate actions about housing supplying …
Short-term building electrical energy consumption forecasting by employing gene expression programming and GMDH networks
Over the past decade, energy forecasting applications not only on the grid side of electric
power systems but also on the customer side for load and demand prediction purposes have …
power systems but also on the customer side for load and demand prediction purposes have …
Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)
In this study, the Terrestrial Water Storage Anomaly (TWSA) in the Lake Urmia Basin (LUB)
was obtained by using the GRACE satellites. The whole study area was covered by 10 …
was obtained by using the GRACE satellites. The whole study area was covered by 10 …
[PDF][PDF] Two Step Density-Based Object-Inductive Clustering Algorithm.
V Lytvynenko, I Lurie, J Krejci, M Voronenko, N Savina… - MoMLeT, 2019 - ceur-ws.org
The article includes the results of study into the practical implementation of two-step
DBSCAN and OPTICS clustering algorithms in the field of objective clustering of inductive …
DBSCAN and OPTICS clustering algorithms in the field of objective clustering of inductive …
Modelling the affecting factors of housing price using GMDH-type artificial neural networks in Isfahan city of Iran
Purpose The purpose of this paper is to use Group Method of Data Handling (GMDH)-type
artificial neural network to model the affecting factors of housing price in Isfahan city housing …
artificial neural network to model the affecting factors of housing price in Isfahan city housing …
[PDF][PDF] Comparative studies of self-organizing algorithms for forecasting economic parameters
V Lytvynenko, O Kryvoruchko, I Lurie… - … Journal of Modern …, 2020 - mecs-press.org
This manuscript presents the economic research results based on their input-output
characteristics and functional description with inductive modeling methods and tools. There …
characteristics and functional description with inductive modeling methods and tools. There …
On the self-organizing induction-based intelligent modeling
V Stepashko - Advances in Intelligent Systems and Computing III …, 2019 - Springer
The article considers the issues of intellectualization of data-driven means for modeling of
complex processes and systems. Some relevant terms of the modeling subject area are …
complex processes and systems. Some relevant terms of the modeling subject area are …
Dynamically changing user interfaces: software solutions based on automatically collected user information
VV Zosimov, OV Khrystodorov… - … and Computer Software, 2018 - Springer
This paper describes a system for automated adaptation of user interfaces (AAUI system).
The system enables pseudo-identification of users, as well as building an anonymous user …
The system enables pseudo-identification of users, as well as building an anonymous user …
Forecasting the annual carbon dioxide emissions of Malaysia using Lasso-GMDH neural network-based
A Shabri - 2022 IEEE 12th Symposium on Computer …, 2022 - ieeexplore.ieee.org
In this study, it was intended to develop an accurate forecasting model for the annually CO2
emission of Malaysia in the short-term. For this purpose, the Group Method of Data Handling …
emission of Malaysia in the short-term. For this purpose, the Group Method of Data Handling …