Neural inverse space mapping EM-optimization

被引：0

作者：

Bandler, JW ^{[1
]}

Ismail, MA ^{[1
]}

Rayas-Sánchez, JE ^{[1
]}

Zhang, QJ ^{[1
]}

机构：

[1] McMaster Univ, Hamilton, ON L8S 4K1, Canada

来源：

2001 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM DIGEST, VOLS 1-3 | 2001年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

For the first time, we present Neural Inverse Space Mapping (NISM) optimization for EM-based design of microwave structures. The inverse of the mapping from the fine to the coarse model parameter spaces is exploited for the first time in a Space Mapping algorithm. NISM optimization does not require: up-front EM simulations, multipoint parameter extraction or frequency mapping. The inverse of the mapping is approximated by a neural network whose generalization performance is controlled through a network growing strategy. We contrast our new algorithm with Neural Space Mapping (NSM) optimization.

引用

页码：1007 / 1010

页数：4

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