An intelligent system for design optimization of electromagnetic devices
An intelligent system for the design optimization of electromagnetic devices is presented. The system comprises a back-propagation neural network in conjunction with an optimizing Hopfield Net for performing search and optimization functions. An adaptive algorithm is used to improve the response of...
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| Veröffentlicht in: | IEEE transactions on magnetics 1994-09, Vol.30 (5), p.3633-3636 |
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| container_end_page | 3636 |
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| container_issue | 5 |
| container_start_page | 3633 |
| container_title | IEEE transactions on magnetics |
| container_volume | 30 |
| creator | Mohammed, O.A. Merchant, R. Uler, F.G. |
| description | An intelligent system for the design optimization of electromagnetic devices is presented. The system comprises a back-propagation neural network in conjunction with an optimizing Hopfield Net for performing search and optimization functions. An adaptive algorithm is used to improve the response of the system in a dynamic environment. Data can be input by an experienced designer in addition to a case generator from the finite element (FE) solutions. Optimal designs are obtained quickly once the artificial neural network (ANN) is trained with a variety of topologies. Results of implemented examples are provided to show the effectiveness of the proposed system.< > |
| doi_str_mv | 10.1109/20.312727 |
| format | Article |
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The system comprises a back-propagation neural network in conjunction with an optimizing Hopfield Net for performing search and optimization functions. An adaptive algorithm is used to improve the response of the system in a dynamic environment. Data can be input by an experienced designer in addition to a case generator from the finite element (FE) solutions. Optimal designs are obtained quickly once the artificial neural network (ANN) is trained with a variety of topologies. Results of implemented examples are provided to show the effectiveness of the proposed system.< ></description><identifier>ISSN: 0018-9464</identifier><identifier>EISSN: 1941-0069</identifier><identifier>DOI: 10.1109/20.312727</identifier><identifier>CODEN: IEMGAQ</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Artificial intelligence ; Artificial neural networks ; Computer science; control theory; systems ; Connectionism. 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Neural networks</subject><subject>Design optimization</subject><subject>Electromagnetic devices</subject><subject>Equations</subject><subject>Exact sciences and technology</subject><subject>Finite element methods</subject><subject>Geometry</subject><subject>Intelligent systems</subject><subject>Neural networks</subject><subject>Simulated annealing</subject><subject>Testing</subject><issn>0018-9464</issn><issn>1941-0069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><recordid>eNpFkM1LAzEQxYMoWKsHr572IIKHrfnO7rEUtULBi56XbHZSIrubmqRC_euNbNG5DI_5zePxELomeEEIrh8oXjBCFVUnaEZqTkqMZX2KZhiTqqy55OfoIsaPLLkgeIbWy7FwY4K-d1sYUxEPMcFQWB-KDqLbjoXfJTe4b52cz8IW0INJwQ96O0JyJmNfzkC8RGdW9xGujnuO3p8e31brcvP6_LJabkrDsEylNpi3uLa6s4qRtiWiq4ySRkrDqjyCYdVCa5mmvBWWCcloKwSThBNeK8Hm6G7y3QX_uYeYmsFFk_PrEfw-NrTiQlWKZvB-Ak3wMQawzS64QYdDQ3Dz21VDcTN1ldnbo6mORvc26NG4-PfAmGC5uozdTJgDgP_r5PEDPOBwaQ</recordid><startdate>19940901</startdate><enddate>19940901</enddate><creator>Mohammed, O.A.</creator><creator>Merchant, R.</creator><creator>Uler, F.G.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>19940901</creationdate><title>An intelligent system for design optimization of electromagnetic devices</title><author>Mohammed, O.A. ; Merchant, R. ; Uler, F.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c306t-ac04b09fadf731bb15d8c76c66c388885307bebf3a24b5f35632b553614149753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Artificial neural networks</topic><topic>Computer science; control theory; systems</topic><topic>Connectionism. 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| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0018-9464 |
| ispartof | IEEE transactions on magnetics, 1994-09, Vol.30 (5), p.3633-3636 |
| issn | 0018-9464 1941-0069 |
| language | eng |
| recordid | cdi_ieee_primary_312727 |
| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Artificial intelligence Artificial neural networks Computer science control theory systems Connectionism. Neural networks Design optimization Electromagnetic devices Equations Exact sciences and technology Finite element methods Geometry Intelligent systems Neural networks Simulated annealing Testing |
| title | An intelligent system for design optimization of electromagnetic devices |
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