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Integration of artificial neural networks and simulation modeling in a decision support system
| Title: | Integration of artificial neural networks and simulation modeling in a decision support system. |
 35 views 16 downloads |
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| Name(s): |
LeCroy, Kenney, Author Mollaghasemi, Mansooreh, Committee Chair Engineering, Degree Grantor |
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| Type of Resource: | text | |
| Date Issued: | 1994 | |
| Publisher: | University of Central Florida | |
| Language(s): | English | |
| Abstract/Description: | University of Central Florida College of Engineering Thesis; A simulation based decision support system is developed for AT[and]T Microelectronics in Orlando. This system uses simulation modeling to capture the complex nature of semiconductor test operations. Simulation, however, is not a tool for optimizations by itself. Numerous executions of the simulation model must generally be performed to narrow in on a set of proper decision parameters. As a means of alleviating this shortcoming, artificial neural networks are used in conjunction with simulation modeling to aid management in the decision making process. The integration of simulation and neural networks in a comprehensive decision support system, in effect, learns the reverse of the simulation process. That is, given a set of goals defined for performance measures, the decision support system suggests proper values for decision parameters to achieve those goals. | |
| Identifier: | CFR0011935 (IID), ucf:53114 (fedora) | |
| Note(s): |
1994-05-01 M.S. Industrial Engineering and Management Systems Masters This record was generated from author submitted information. Electronically reproduced by the University of Central Florida from a book held in the John C. Hitt Library at the University of Central Florida, Orlando. |
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| Subject(s): |
Engineering -- Dissertations Academic Dissertations Academic -- Engineering |
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| Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFR0011935 | |
| Restrictions on Access: | public | |
| Host Institution: | UCF |
