Optimisation des performances de modules multipuces Modélisation par réseaux de neurones

Yagoub, M.C.E.

doi:10.1007/bf03179712

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2007

2009

Publication Types

Select...

Other2

Article1

Relationship

Self Cite1

Independent2

Authors

Journals

Cited by 3 publications

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Fuzzy neural-based approaches for efficient RF/microwave transistor modeling

Gaoua

Cheng

et al. 2009

Int J RF and Microwave Comp Aid Eng

Self Cite

View full text Add to dashboard Cite

In today's RF and microwave circuits, there is an ever-increasing demand for higher level of system integration that leads to massive computational tasks during simulation, optimization, and statistical analyses, requiring efficient modeling methods so that the whole process can be achieved reliably. Since active devices such as transistors are the core of modern RF/microwave systems, the way they are modeled in terms of accuracy and flexibility will critically influence the system design, and thus, the overall system performance. In this article, the authors present neural-and fuzzy neural-based computer-aided design techniques that can efficiently characterize and model RF/microwave transistors such as field-effect transistors and heterojunction bipolar transistors. The proposed techniques based on multilayer perceptrons neural networks and c-means clustering algorithms are demonstrated through examples.

show abstract