An efficient tolerance design procedure for yield maximization using optimization techniques and neural network

Various optimization formulations are analyzed for the determination of design parameters and their tolerances to achieve maximum yield and minimum cost. Three approaches for this objective are presented. Through a numerical example, it is concluded that a procedure using a neural network approach followed by a fine tuning algorithm is recommended for efficiency and reliability.<
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