Comparison between TAGUCHI Method and Neural Network in Optimization

comparison between conventional and alternative technique in extraction of maxillary molars

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Performance Optimization of Extrusion Blow Molded Parts Using Fuzzy Neural-taguchi Method and Genetic Algorithm

This paper presents a soft computing strategy to determine the optimal die gap parison programming of extrusion blow molding process. The design objective is to minimize part weight subject to stress constraints. The finite-element software, BlowSim, is used to simulate the parison extrusion and the blow molding processes. However, the simulations are time consuming, and minimizing the number o...

Taguchi and Robust Optimization

This report is intended to facilitate dialogue between engineers and optimizers about the eeciency of Taguchi methods for robust design, especially in the context of design by computer simulation. Three approaches to robust design are described: 1. Robust optimization, i.e. specifying an objective function f and then minimizing a smoothed (robust) version of f by the methods of numerical optimi...

A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDP of Iran

Simulation and Optimization of Styrene Monomer Production Using Neural Network