GMDH

AcronymDefinition
GMDHGroup Method of Data Handling
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Company ProfilesRapidMiner, GMDH, SAS Institute, Oracle, Apteco, University of Ljubljana, Company Profile, Main Business Information, SWOT Analysis, Sales, Revenue, Price and Gross Margin, Market Share, Cloud
Data Mining Software Market showing footprints for Strong Annual Sales / SAS Institute, Oracle, Apteco
The development of the Group Method of Data Handling (GMDH) algorithm was described by Dag & Yozgaligil (2016) and assumes a time series with t time units and p inputs.
Estimates of reference evapotranspiration in the municipality of Ariquemes (RO) using neural networks GMDH-type/ Estimativas da evapotranspiracao de referencia no municipio de Ariquemes (RO) utilizando redes neurais tipo-GMDH
In addition, all the techniques, including the conventional ANN, GRNN, and SVM methods, and the relative novel methods (ELM, ANFIS, and GMDH) proposed by this study remarkably differ in terms of their structures, principles, and parameters.
Modeling Evapotranspiration Response to Climatic Forcings Using Data-Driven Techniques in Grassland Ecosystems
Differential polynomial neural network (D-PNN) is a new neural network type, which extends the basic complete GMDH PNN structure to form sum series of relative combination derivation terms, which together define and substitute for the selective general partial differential equation (DE) of a multivariable function searched model based on data observations.
Modelling the Photovoltaic Output Power using the Differential Polynomial Network and Evolutionary Fuzzy Rules
Muller, "Present state and new problems of further GMDH development," Systems Analysis Modeling Simulation, vol.
Parameter Identifiability of Ship Manoeuvring Modeling Using System Identification
Step 4: using GMDH algorithm in order to predict the influential elements on the waste among the identified elements in step 2.
Algorithm for minimizing waste of production lines using neural networks in textile industry
Even if the IT market does offer a large number of forecasting tools, we consider that one of the most significant one is the GMDH Shell environment, professional neural network software, which solves time series forecasting (Geos Research Group, 2013).
Neural networks-based forecasting regarding the convergence process of CEE countries to the Eurozone
Backpropagation (BP) network, radial basis function neural network (RBFNN), and group method of data handling (GMDH) network are the typical feedforward neural networks.
Radial basis function neural network with particle swarm optimization algorithms for regional logistics demand prediction
[2], RK-4, group method of data handling (GMDH), and neuromethod (NM).
A multiagent transfer function neuroapproach to solve fuzzy Riccati differential equations
Srinivasan, "Energy demand prediction using GMDH networks," Neurocomputing, vol.
A comparative study of electric load curve changes in an urban low-voltage substation in Spain during the economic crisis (2008-2013)
Fakhraee compared the accuracy in predicting water demand in Tehran city among three different approaches: regression analysis, time series analysis and GMDH neural network (Fakhraee, 2008).
Short-term water demand forecasting by neural network
Group method of data handling (GMDH) (Ivakhnenko 1968).
An algorithm for solving the problem of forecasting
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