✦ LIBER ✦

An overview of neural network methods in computational electromagnetics

✍ Scribed by Rabindra K. Mishra

Publisher: John Wiley and Sons
Year: 2001
Tongue: English
Weight: 242 KB
Volume: 12
Category: Article
ISSN: 1096-4290
DOI: 10.1002/mmce.10009

No coin nor oath required. For personal study only.

✦ Synopsis

Some of the applications of neural network techniques in different methods, in computational electromagnetics, are highlighted. Applications in finite element method for automated mesh generation are described. Extrapolation of the FDTD data using FIR filterbased neural network is illustrated. Use of the neural network method in spectral domain technique for determination of resonant frequency of a microstrip resonator and the input impedance of a microstrip antenna are shown. Furthermore, potential application areas are identified.

📜 SIMILAR VOLUMES

An accurate wavelet neural-network-based

An accurate wavelet neural-network-based model for electromagnetic optimization of microwave circuits

✍ S. Bila; Y. Harkouss; M. Ibrahim; J. Rousset; E. N'Goya; D. Baillargeat; S. Verd 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 246 KB 👁 2 views

In this paper, a relevant automated electromagnetic (EM) optimization method and a novel, fast, and accurate artificial neural network are proposed for the efficient CAD modeling of microwave circuits. We lay the groundwork for our investigation of radial wavelet neural networks WNNs trained by BFGS

An overview of rheology in the computer

An overview of rheology in the computer industry

✍ T. E. Karis 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 925 KB

The rheological characterization of a wide variety of materials used in computer hardware is described. The materials and applications presented include liquid crystal polymers for components, solder paste for surface mounting of integrated circuits, screen printable polyimide for dielectric pattern

An agent-based framework for parametric

An agent-based framework for parametric studies of numerical modelling problems in computational electromagnetics

✍ C. G. Biniaris; A. I. Kostaridis; D. I. Kaklamani; I. S. Venieris 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 442 KB

## Abstract In this paper, we present the design of a generic agent‐based framework for distributed parametric analysis of numerical modelling problems on a network of workstations and its application in computational electromagnetics (CEM). The entire infrastructure is based on a Master–Worker par

Implementation, Algorithmic, and Computa

Implementation, Algorithmic, and Computational Level Descriptions of Neural Networks. Review ofMathematical Methods for Neural Network Analysis and Design,by R. M. Golden

✍ Jerome R. Busemeyer 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 96 KB

Using a neural network to obtain an outp

Using a neural network to obtain an output voltage control method in an interconnection inverter

✍ Kunitoshi Tazume; Tadahito Aoki; Yutaka Kuwata; Yousuke Nozaki 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 480 KB

A numerical method for the computation o

A numerical method for the computation of electromagnetic modes in optical fibres

✍ Patrick Joly; Christine Poirier 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 717 KB

In this article, we propose a new numerical method for the computation of electromagnetic modes in an optical fibre. The main difficulty lies in the fact that we have to solve an eigenvalue problem posed in 1. We reduce the problem to a disc with the help of the introduction of non-local boundary op