Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2008.2687.2694JafariS.AbdolmohammadiH.R.EliasiH.MenhajM.B.RajatiM.R.122008815The 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.]]>Dai, Q.X., Z.Z. Yuan, M.X. Luo and X.N. Cheng, 20042N age-precipitation in high nitrogen stainless steels. ]]>Daneshvar, N., A.R. Khataee and N. Djafarzadeh, 2006Datta, S. and M.K. Banerjee, 2006Elkamel, A., 1998Hebbar, A., M. Mechmache D. Ouinas and A. Berras, 2006Keong, K.G., W. Sha and S. Malinov, 2004Khamis, A., Z. Ismail, K. Haron and A.T. Mohammed,2006Seifipour, N. and M.B. Menhaj, 2001Senthilkumar, M., 2006Tercan, A.E. and A.I. Karayigit, 2001Turkoglu, M., I. Aydin, M. Murray and A. Sakr, 1999