Optimization of material composition of
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Yoshihiro Ootao; Ryuusuke Kawamura; Yoshinobu Tanigawa; Ryuutarou Imamura
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Article
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1999
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Elsevier Science
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English
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In this study, a neural network is applied to optimization problems of material compositions for a nonhomogeneous hollow sphere with arbitrarily distributed and continuously varied material properties such as functionally graded material (FGM). Using the analytical procedure of a laminated hollow sp