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No global scale land cover classification method performs with high accuracy at local scale. This study tries to develop a classification algorithm for urban area in Vietnam. This is the first assessment of the Global Land Cover by National Mapping Organizations (GLCNMO) version 2 method for producing global urban map in 2008. An improved and optimized algorithm is then developed based on the GLCNMO...
Currency exchange rates forecasting is paid a considerable attention of the researchers in the field of forecasting. The neural network is a well-known tool in machine learning. However, two issues are always interested by the scientists: getting toward to global convergence of extreme solutions and determining the optimal weight of the network. This paper proposes the multi-objective method of ensemble...
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