This Article Full Text (PDF) All Versions of this Article: 1063293X09344129v1 17/3/203    most recent References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Scopus Google Scholar Articles by Hsieh, K.-L. Social Bookmarking                         What's this?

Multi-response Problem with Adaptive Weight Consideration by Using Weight Aggregator and ANNs

Department of Information Management National Taitung University No. 684 Chung-Hua Rd Taitung, Taiwan 950, R.O.C., klhsieh2644{at}mail2000.com.tw

This study proposes a procedure incorporating artificial neural networks technique with adaptive weight 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 among several evaluations among those multiple responses can also be studied via the designed aggregation weight values in our proposed procedure. An illustrative example owing to the lead frame manufacturer in Taiwan is also employed to demonstrate the feasibility and rationality of the proposed procedure.

Key Words: multi-response problem • parameter optimization • back-propagation neural network (BPNN) • lead frame • weight aggregator.

This version was published on September 1, 2009

Concurrent Engineering, Vol. 17, No. 3, 203-211 (2009)
DOI: 10.1177/1063293X09344129


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?