✦ LIBER ✦

Modeling semiconductor devices by using Neuro Space Mapping

✍ Scribed by Mahdi Gordi Armaki; Seyed Ebrahim Hosseini; Mohamad Kazem Anvarifard

Book ID: 108057089
Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 584 KB
Volume: 34
Category: Article
ISSN: 0307-904X
DOI: 10.1016/j.apm.2010.02.032

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Space-mapped neuro-fuzzy optimization fo

Space-mapped neuro-fuzzy optimization for microwave device modeling

✍ J. Hinojosa; G. Doménech-Asensi 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 277 KB

## Abstract Four modeling methods of microwave devices using multiple neuro‐fuzzy inference systems (MANFIS) based on space‐mapping (SM) approach are presented. In contrast with previous works using conventional mathematical tools and artificial neural networks, the proposed SM‐based neuro‐fuzzy mo

Accurate modeling of microwave devices u

Accurate modeling of microwave devices using kriging-corrected space mapping surrogates

✍ Slawomir Koziel; John W. Bandler 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 974 KB

We present an accurate modeling technique that exploits standard space mapping (SM) as a trend function and the correction layer implemented with kriging. The kriging process allows us to efficiently utilize all available fine model data (not possible in the standard SM approach) and to obtain accur

Neuro-space mapping-based DC modeling fo

Neuro-space mapping-based DC modeling for 130-nm MOSFET

✍ Shoulin Li; Bo Han; Jiali Cheng; Jianjun Gao 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 439 KB

In this article, two approaches for modeling DC characteristics for MOSFET based on neuro-space mapping (SM) are proposed. The first approach makes use of classical neuro-SM technology, while the second combines neuro-SM with prior knowledge input and source difference method. The formulas for obtai

Modeling and simulation of photonic devi

Modeling and simulation of photonic devices by generalized space mapping technique

✍ Ning-Ning Feng; Wei-Ping Huang 📂 Article 📅 2003 🏛 Optical Society of America 🌐 English ⚖ 289 KB

Efficient analytical formulation and sen

Efficient analytical formulation and sensitivity analysis of neuro-space mapping for nonlinear microwave device modeling

✍ Lei Zhang; Jianjun Xu; Yagoub, M.C.E.; Runtao Ding; Qi-Jun Zhang 📂 Article 📅 2005 🏛 IEEE 🌐 English ⚖ 1015 KB

Bias-dependent small-signal modeling bas

Bias-dependent small-signal modeling based on neuro-space mapping for MOSFET

✍ Shoulin Li; Jiali Cheng; Bo Han; Jianjun Gao 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 866 KB

In this article, bias-dependent small-signal modeling approach based on neuro-space mapping is proposed for MOSFET. Good agreement is obtained between the simulated and measured results for a 130 nm MOSFET in the frequency range of 100 MHz-40 GHz confirming the validity and effectiveness of our appr