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Articles by H.R. Abdolmohammadi
Total Records ( 1 ) for H.R. Abdolmohammadi
  S. Jafari , H.R. Abdolmohammadi , H. Eliasi , M.B. Menhaj and M.R. Rajati
  The aim of this study is to provide an experiment design method for modeling and function approximation. Modeling real-life systems is extremely of interest nowadays. Models could be useful in analysis of systems and help us understand their behavior. From a new point, models could be classified into three classes: black box models, gray box models and white box models. Our idea is related to black box modeling. Proper performance of a black box model depends on structure of the model as well as the data used to determine its parameters. Although one of the important factors affecting the richness of the dataset is the number of data, increasing the number of data points is limited in real problems. For instance gathering data from many systems imposes spending lots of time and cost. In this study, inspired by honey bee algorithm, we have designed a method which enriches the datasets for a known number of data, in comparison to other conventional data extraction methods. In such a method, after extracting some data by grid method, the other data points are extracted according to an intelligent analysis on available data. The results illustrate the efficiency of the proposed method.
 
 
 
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