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Neural Network Performance for Complex Minimization Problem

Neural Network Performance for Complex Minimization Problem
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摘要 We have analyzed the important problem of contemporary high-energy physics concerning the estimation of some parameters of the observed complex phenomenon. The standard statistical method of the data analysis and minimization was confronted with the Neural Network approaches. For the Natural Neural Networks we have used brains of high school students involved in our Roland Maze Project. The excitement of active participation in real scientific work produced their astonishing performance what is described in the present work. Some preliminary results are given and discussed. We have analyzed the important problem of contemporary high-energy physics concerning the estimation of some parameters of the observed complex phenomenon. The standard statistical method of the data analysis and minimization was confronted with the Neural Network approaches. For the Natural Neural Networks we have used brains of high school students involved in our Roland Maze Project. The excitement of active participation in real scientific work produced their astonishing performance what is described in the present work. Some preliminary results are given and discussed.
作者 Tadeusz Wibig
机构地区 不详
出处 《Communications and Network》 2010年第1期31-37,共7页 通讯与网络(英文)
关键词 artificial NEURAL NETWORK natural NEURAL NETWORK CURVE FITTING MINIMIZATION INTERPOLATION optimization artificial neural network natural neural network curve fitting minimization interpolation optimization
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