Employing Artificial Neural Networks into Achieving Parameter Optimization of Multi-Response Problem with Different Importance Degree Consideration

Research Article

Employing Artificial Neural Networks into Achieving Parameter Optimization of Multi-Response Problem with Different Importance Degree Consideration

This study proposed a procedure based on Artificial Neural Networks (ANNs) technique with different importance degree consideration to address parameter optimization of a multiple responses problem. No matter what type of the experimental designs being employed, the proposed approach can be directly employed. Besides, the consistency and difference between those multiple responses can be also studied via the aggregation weight values in our proposed procedure. An illustrative example owing to the lead frame manufacturer in Taiwan is also employed to demonstrate the effectiveness and rationality of the proposed procedure.

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Kun-Lin Hsieh, 2010. Employing Artificial Neural Networks into Achieving Parameter Optimization of Multi-Response Problem with Different Importance Degree Consideration. Information Technology Journal, 9: 918-926.

DOI: 10.3923/itj.2010.918.926

URL: https://scialert.net/abstract/?doi=itj.2010.918.926

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Kun-Lin Hsieh

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Research Article

Employing Artificial Neural Networks into Achieving Parameter Optimization of Multi-Response Problem with Different Importance Degree Consideration

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