Research Article
Desirability Improvement of Committee Machine to Solve Multiple Response Optimization Problems
get Data //include , matrixes | setRMSE_network = 1 // beginning of modeling phase | set min_RMSE = 0.4 | for all kind of neural networks | while (RMSE_network > min_RMSE or coefficient of correlation < 0) and iterations < 5 | set and | if min_RMSE > RMSE_network | set min_RMSE = RMSE_network | end if | add one to iterations | end // end of while | end for | iteration = 1; | while (iteration < 5) | calculate CM weights using GA randomly | train network | calculate RMSE_network and coefficient of correlation | if RMSE_network < min_RMSE for goal of minimizing in overall RMSE // end of modeling phase | calculate , and GD() using GA for goal of maximizing in Global desirability // | end | //end |
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