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Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programming.

, , , and . Appl. Soft Comput., 11 (2): 1648-1656 (2011)

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Computational Intelligence Techniques for New Product Design, , and . Studies in Computational Intelligence Springer, (2012)Determination of process conditions of epoxy dispensing processes using a genetic algorithm based neural fuzzy networks., , , and . FUZZ-IEEE, page 2253-2260. IEEE, (2011)Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm., , and . Inf. Sci., 181 (9): 1623-1640 (2011)Diagnosis of hypoglycemic episodes using a neural network based rule discovery system., , , and . Expert Syst. Appl., 38 (8): 9799-9808 (2011)Determination of chemo-responses for osteosarcoma using a hybrid evolutionary algorithm., , , , and . IEEE Congress on Evolutionary Computation, page 1-5. IEEE, (2010)Polynomial modeling for manufacturing processes using a backward elimination based genetic programming., , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)Using an evolutionary fuzzy regression for affective product design., , and . FUZZ-IEEE, page 1-8. IEEE, (2010)Manufacturing modeling using an evolutionary fuzzy regression., , , and . FUZZ-IEEE, page 2261-2267. IEEE, (2011)Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks., , , and . IEEE Congress on Evolutionary Computation, page 1-5. IEEE, (2010)Reducing overfitting in manufacturing process modeling using a backward elimination based genetic programming., , , and . Appl. Soft Comput., 11 (2): 1648-1656 (2011)