Search Results - (( java application learning algorithm ) OR ( (variable OR variables) relational data algorithm ))
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Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks
Published 2015“…In this paper, the important issues related with the best input variable selection for a hybrid model is addressed. …”
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…The study used input energy data from 8 variables for developing energy models. …”
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An evolutionary based features construction methods for data summarization approach
Published 2015“…In other words, this research will discuss the application of genetic algorithm to optimize the feature construction process from the Coral Reefs data to generate input data for the data summarization method called Dynamic Aggregation of Relational Attributes (DARA). …”
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Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…System identification is a method of determining a mathematical relation between variables and terms of a process based on observed input-output data. …”
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Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis
Published 2017“…Results: By using the ID3 algorithm, it is possible to consider the relationship among variables and to identify the most informative variables for predicting the classification of the instance. …”
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Application of Decision Trees in Athlete Selection: A Cart Algorithm Approach
Published 2023“…The focus of this study is on the use of DTs, employing the Classification and Regression Trees (CART) algorithm, in the initial screening of athletes. This involves analyzing 11 sociodemographic and anthropometric variables within a dataset of 113 prospective athletes, encompassing both numerical and categorical data. …”
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Modeling forest fires risk using spatial decision tree
Published 2011“…The modeling forest fire risk includes variables related to physical as well as social and economic. …”
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Identification of continuous-time hammerstein model using improved archimedes optimization algorithm
Published 2024“…This proposed algorithm also discerned linear and nonlinear subsystem variables within a continuous-time Hammerstein model utilizing input and output data. …”
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Comparing three methods of handling multicollinearity using simulation approach
Published 2006“…The goal was to develop a linear equation that relates all the predictor variables to a response variable. …”
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Variable Neighbourhood Search Algorithm for Vehicle Routing Problem with Backhaul
Published 2023“…Thus, a heuristic approach based on the Variable Neighbourhood Search (VNS) is proposed. In this research, 22 sets of benchmark instances introduced by Goetschalckx and Jacobs-Blecha are used to test the efficiency and effectiveness of the proposed algorithm. …”
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Electricity demand forecasting in Turkey and Indonesia using linear and nonlinear models based on real-value genetic algorithm and extended Nelder-Mead local search
Published 2014“…Electricity demand patterns have many variables related to uncertainty behaviour such as gross domestic product, population, import and export. …”
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Power plant energy predictions based on thermal factors using ridge and support vector regressor algorithms
Published 2021“…It is concluded that these algorithms are suitable for predicting sensitive output energy data of a CCPP depending on thermal input variables.…”
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A Comparative Study On Some Methods For Handling Multicollinearity Problems
Published 2006“…The goal was to develop a linear equation that relates all the predictor variables to a response variable. …”
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A comparative study on some methods for handling multicollinearity problems
Published 2006“…The goal was to develop a linear equation that relates all the predictor variables to a response variable. …”
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Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree regression, linear reg...
Published 2022“…The four machine learning algorithms exhibit high predictive performances, generally ascertaining the predictive accuracy of the climatic variables. …”
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Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree regression, linear reg...
Published 2022“…The four machine learning algorithms exhibit high predictive performances, generally ascertaining the predictive accuracy of the climatic variables. …”
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Survey on input output relation based combination test data generation strategies
Published 2015“…Over the years, many combinatorial test data generation strategies have been developed supporting uniform and variable strength interactions. …”
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