Share Email Print
cover

Proceedings Paper

Synthesis of electromagnetic devices with a novel neural network
Author(s): Heriberto Jose Delgado; Michael H. Thursby; Fredric M. Ham
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A novel Artificial Neural Network (ANN) is presented, which has been designed for computationally intensive problems, and applied to the optimization of electromagnetic devices such as antennas and microwave devices. The ANN exploits a unique number representation in conjunction with a more standard neural network architecture. An ANN consisting of hetero-associative memory provided a very efficient method of computing the necessary geometrical values for the devices, when used in conjunction with a new randomization process. The number representation used provides significant insight into this new method of fault-tolerant computing. Further work is needed to evaluate the potential of this new paradigm.

Paper Details

Date Published: 12 April 2004
PDF: 8 pages
Proc. SPIE 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II, (12 April 2004); doi: 10.1117/12.549466
Show Author Affiliations
Heriberto Jose Delgado, Harris Corp. (United States)
Michael H. Thursby, Command Technologies Inc. (United States)
Fredric M. Ham, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5439:
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II
Harold H. Szu; Mladen V. Wickerhauser; Barak A. Pearlmutter; Wim Sweldens, Editor(s)

© SPIE. Terms of Use
Back to Top