Searching for optimal setting conditions in technological processes using parametric estimation models and neural network mapping approach: A tutorial |
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Authors: | Natalja Fjodorova Marjana Novič |
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Institution: | National Institute of Chemistry, Hajdrihova 19, SI, 1000 Ljubljana, Slovenia |
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Abstract: | Engineering optimization is an actual goal in manufacturing and service industries. In the tutorial we represented the concept of traditional parametric estimation models (Factorial Design (FD) and Central Composite Design (CCD)) for searching optimal setting parameters of technological processes. Then the 2D mapping method based on Auto Associative Neural Networks (ANN) (particularly, the Feed Forward Bottle Neck Neural Network (FFBN NN)) was described in comparison with traditional methods. |
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Keywords: | Design of experiment Optimization methods Feed-forward bottleneck neural network Factorial design Response surface design |
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