group method data handling (GMDH)
The Use of Group Method of Data Handling and Multilayer Perceptron Neural Network for the Prediction of Significant Wave Height
... the data gathered and the measurement of the sea waves in the Caspian Sea, in the north of ...the Group Method Data Handling type neural network (GMDH-NN) and Multi-layer Perceptron ...
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Modeling Temperature Dependency of Oil-Water Relative Permeability in Thermal Enhanced Oil Recovery Processes Using Group Method of Data Handling and Gene Expression Programming
... using group method of data handling (GMDH) and gene expression programming (GEP) for predicting the dependency of Kr in the two - phase oil - water systems on temperature, so that it could be ...
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A hybrid group method of data handling (GMDH) with the Wavelet Decomposition for Time Series Forecasting: A review
... oriented method which provides the foundation for the construction of high order regression models of complex ...of Group Method of Data Handling (GMDH), its modification and ...
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Streamflow estimation at ungauged site using wavelet group method of data handling in Peninsular Malaysia
... jackknife procedure is applied. One of the time series models, GMDH model has shown its capability in time series forecasting. GMDH had been applied in many areas such as economy, ecology, medical diagnostics, signal ...
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Application of Group Method of Data Handling Type Neural Network for Significant Wave Height Prediction
... the group method of data handling type neural network (GMDH-NN) was presented for significant wave height prediction in an attempt to suggest a new model with superior explanatory power and ...
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Evaluation of shear strength parameters of granulated waste rubber using artificial neural networks and group method of data handling
... GR group tends to show larger shear strength due to its consistent and more uniform matrix, resulting from grains arrangement in the shear ...GR group, which is not the same case in RC specimens. ...
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Flood estimation at ungauged sites using group method of data handling in Peninsular Malaysia
... Group Method of Data Handling (GMDH) have been successful in many fields such as economy, ecology, medical diagnostics, signal processing, and control systems but given a little attention in ...
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Modeling and Hybrid Pareto Optimization of Cyclone Separators Using Group Method of Data Handling (GMDH) and Particle Swarm Optimization (PSO)
... evolved Group Method of Data Handling (GMDH) type neural networks are regarded to model the Dp and h as the required functions of geometrical ...
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Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel
... Table 1 presents the results of examining the existing equations and GMDH model in predicting Fr for MAPE and RMSE indices. The results of the dierent equations are presented in this table for three dierent data ...
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Group Method of Data Handling for Modeling Magnetorheological Dampers
... a group of quadratic neurons that are arranged in a special struc- ture to map a given set of training feature vectors into their corresponding response ...
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Assessment of Lateral Displacements using Neuro-Fuzzy Group Method of Data Handling Systems
... neuro-fuzzy group method of data handling (NF-GMDH) is utilized for assessment of lateral displacement in both ground slope and free face ...conventional method are ...
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The enhanced group method of data handling models for time series forecasting
... another method, there is a Group Method of Data Handling (GMDH)- type algorithms which was introduced by Ivakhnenko in the early 1970’s (Ivakhnenko, 1971; Ivakhnenko and Ivakhnenko, ...
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Group Method of Data Handling with Artificial Bee Colony in Combining Forecasts
... of data. Real world data are usually a mix of linear and non- linear, and often have different characteristic from one ...certain data, it might not be able to perform best in another ...
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The enhanced group method of data handling models for time series forecasting
... Kebelakangan ini, satu sub-model rangkaian neural (NN), iaitu, Kaedah Kumpulan Pengendalian Data (GMDH) dan pelbagai model-model hibrid berasaskan kaedah GMDH telah [r] ...
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Using group method of data handling to model customer choice behaviour
... new method for choice modelling based on a Group Method of Data Handling (GMDH); an inductive modelling method proposed by Ivakhnenko ...the method can automatically ...
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Flood frequency analysis at ungauged site using modified group method of data handling
... Modified group method of data handling (MGMDH) were obtained from combining PCA and ...the data, the K1 method proposed by Kaiser is applied ...
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Privacy-friendly Forecasting for the Smart Grid using Homomorphic Encryption and the Group Method of Data Handling
... The authors of [34] define the smart grid as “an electricity network that can cost efficiently integrate the behavior and actions of all users connected to it – generators, consumers and those that do both – in order to ...
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Statistical handling of data in economic analysis
... Box method, the Taylor series method, the Fieller theorem method and the non-parametric bootstrap ...bootstrap method and the Fieller theorem method have been shown to be more ...
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Multiple Group Handling Cognitive Radio Network With High Accuracy
... The SU have to access database to determine availability of vacant licensed band in their location and help with the user group. The SU by Identify data, Access data & Control data with ...
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A REVIEW OF MISSING DATA HANDLING METHODS
... for handling missing values that have been developed by ...suitable method for their ...single method is superior in all the missing ...missing data treatment methods due to its rich ...
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