Neuromodeling of microwave circuits exploiting space mapping technology

Author

Bandler, J.W. ; Ismail, M.A. ; Rayas-Sanchez, J.E. ; Zhang, Q.J.

Author_Institution

Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada

Volume

1

fYear

1999

fDate

13-19 June 1999

Firstpage

149

Abstract

Space mapping (SM) technology based neuromodels decrease the cost of training, improve generalization ability and reduce the complexity of the ANN topology w.r.t. classical neuromodeling. Three novel techniques are proposed to generate SM based neuromodels: space-mapped neuromodeling (SMN), frequency dependent space-mapped neuromodeling (FDSMN), and frequency-space-mapped neuromodeling (FSMN). Huber optimization is proposed to train the neuro-space-mapping (NSM). The techniques are illustrated by a microstrip right angle bend.

Keywords

circuit CAD; circuit optimisation; generalisation (artificial intelligence); microstrip circuits; microwave circuits; neural nets; ANN topology; Huber optimization; frequency dependent techniques; frequency-space-mapped techniques; generalization ability; microstrip right angle bend; microwave circuits; neuromodeling; space mapping technology; Artificial neural networks; Circuit simulation; Circuit topology; Computational modeling; Frequency; Mathematical model; Microwave circuits; Microwave technology; Samarium; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Symposium Digest, 1999 IEEE MTT-S International

Conference_Location

Anaheim, CA, USA

Print_ISBN

0-7803-5135-5

Type

conf

DOI

10.1109/MWSYM.1999.779445

Filename

779445