Integrated Approach to Modeling and Optimization in Engineering and Science

1. Introduction. 2. Design of Experiment, Mathematical Modeling, and Optimization. 3. Comparison of ANN and Neuro Regression Methods in Mathematical Modeling. 4. Evaluation of R2 as a Model Assessment Criterion. 5. Questioning the Adequacy of Using Polynomial Structures. 6. The Effect of Using the Taguchi Method in Experimental Design on Mathematical Modeling. 7. Comparison of Different Test and Validation Methods Used in Mathematical Modeling. 8. Comparison of Different Model Assessment Criteria Used in Mathematical Modeling. 9. Comparison of the Effects of Experimental Design Methods on Mathematical Modeling. 10. Special Functions in Mathematical Modeling. 11. Conclusion.

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• Probabilidade e Estatística
• Engenharia mecânica
• Desenho técnico
• Engenharia: geral
• Inteligência artificial
• Optimização

Optimization;Taguchi;Modeling;D-Optimal;Full Factorial;Experimental Design;Neuro Regression;Box Behnken;Artificial Intelligence;Stochastic Neuroregression;Central Composite;Surface Response Method;HyperGeometric;Bessel