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Modeling CO2 loading capacity of triethanolamine aqueous solutions using advanced white-box approaches: GMDH, GEP, and GP
The equilibrium solubility of carbon dioxide (CO 2 ) in the solvents is a key essential characteristic that has to be evaluated for successful...
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Development of a Two-Stage Method for Zoned Pore Pressure Clustering Using FCM and GMDH Models (Case Study: Eyvashan Earth Dam)
To identify the behavior and health monitoring of dams, it is necessary to correctly interpret the results of instrumentation in different phases of...
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Reliability Analysis of Clayey Soil Slope Stability Using GMDH and RFC Soft Computing Techniques
Soil being a heterogeneous medium, predicting the stability of soil slope is a complex engineering problem due to the involvement of multiple...
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Prediction of in situ state parameter of sandy deposits from CPT measurements using optimized GMDH-type neural networks
Increase in seismic events around the world has necessitated the evaluation of soil liquefaction potential since it adversely influences the...
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Presentation of regression analysis, GP and GMDH models to predict the pedestrian density in various urban facilities
In this study, the relationship between space mean speed ( SMS ), flow rate and density of pedestrians was investigated in different pedestrian...
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ML-based group method of data handling: an improvement on the conventional GMDH
Machine learning (ML) has been recognized as a feasible and reliable technique for the modeling of multi-parametric datasets. In real applications,...
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Design of a MIM sensor using an optical resonator and GMDH algorithm for high efficiency applications
This paper presents the design and simulation of an optical sensor using a metal–insulator-metal (MIM) configuration, employing the finite difference...
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A Novel Technique of Mixed Gas Identification Based on the Group Method of Data Handling (GMDH) on Time-Dependent MOX Gas Sensor Data
Gas sensor arrays have been used to identify gases based on their dynamic response. Pre-processing of data plays a critical role in identifying...
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Reliability Analysis of Pile Foundation Using GMDH, GP and MARS
Risk and reliability are important aspects of geotechnical structures. Soil is highly variable. Pile tests are extremely expensive and...
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Structure Optimization and Investigations of the Hybrid GMDH-Neo-fuzzy Neural Networks in Forecasting Problems
The hybrid evolving GMDH- neo-fuzzy system was suggested and investigated. The application of GMDH based on self-organization principle enables to...
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GMDH-Type Neural Networks for Predicting Financial Time Series: A Study of Informational Efficiency of Stock Markets
A theory of Efficient Market Hypothesis (EMH) has been introduced by Fama to analyse financial markets. In particular the EMH theory has been proven...
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A GMDH Predictive Model to Predict Rock Material Strength Using Three Non-destructive Tests
The uniaxial compressive strength (UCS) is considered as a significant parameter related to rock material in design of geotechnical structures...
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Predicting the Geometrical Characteristics of an Inclined Negatively-Buoyant Jet for Angles from 30° to 60° Using GMDH Neural Network
The goal of this paper is to examine a new approach called the group method of data handling (GMDH) for predicting the geometrical characteristics of...
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Multi-objective optimization design of a centrifugal impeller by positioning splitters using GMDH, NSGA-III and entropy weight-TOPSIS
A centrifugal impeller with splitters was designed by three-dimensional (3D) inverse design method, and its efficiency, velocity non-uniformity at...
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Flow velocity prediction in a vegetated channel using soft computing techniques
Flow vegetation interaction is a complex process affected by physical parameters, such as flow depth, vegetation height, stem characteristics,...
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Investigation of Artificial Intelligence Methods in the Short-Term and Middle-Term Forecasting in Financial Sphere
In this paper the problems of short- and middle-term forecasting at the financial sphere are considered. For this problem intelligent forecasting...
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GMDH-Based Discovering Dynamic Regularities of the Ukraine Covid-19 Pandemic Process
This article presents the modeling results of the Ukraine Covid-19 pandemic process using official statistical data on the confirmed cases. Main goal...
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Seismic Performance of Gravity Retaining Walls Under Quasi-static Approach Using Probabilistic Analysis
This paper presents a study on the probabilistic-based design of a gravity retaining wall under seismic condition. Mononobe-Okabe equations are used...
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Prediction of Ground Water Table Using NF-GMDH Based Evolutionary Algorithms
Groundwater, as the key element of water resources, can play inevitably substantial role in managing groundwater aquafers. In fact, a ferocious...
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Bio-inspired Predictive Models Development for Strength Characterization of Cement Deep-Mixed Plastic Soils
This paper utilizes various artificial intelligence models to predict the experimental results of the deep-mixing technology for ground improvement...
