The recent developments in knowledge based neural modeling

M. Simsek, Q. J. Zhang, H. Kabir, Y. Cao, N. S. Sengor

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Artificial neural networks have been recognized as an important technique in microwave modeling and optimization. This paper gives an overview and recent developments on the knowledge based neural modeling techniques in microwave modeling and design. The knowledge based artificial neural networks are constructed by incorporating the existing knowledge such as empirical formulas, equivalent circuit models and semi-analytical equations in neural network structures. The existing knowledge reduces the complexity of neural network model. This combination requires less training data and has better extrapolation performance than classical neural networks. The advantages of using knowledge based neural network modeling are demonstrated with two microwave modeling applications such as characteristic impedance modeling of thin-film microstrip line and parametric modeling of the differential via holes.

Original languageEnglish
Pages (from-to)1321-1330
Number of pages10
JournalProcedia Computer Science
Volume1
Issue number1
DOIs
Publication statusPublished - 2010

Keywords

  • Computer-aided design
  • Knowledge based neural network
  • Microwave modeling

Fingerprint

Dive into the research topics of 'The recent developments in knowledge based neural modeling'. Together they form a unique fingerprint.

Cite this