✦ LIBER ✦

Application of fault-tolerant neural networks in the synthesis of microwave devices

✍ Scribed by Heriberto J. Delgado; Michael H. Thursby

Publisher: Elsevier Science
Year: 2005
Tongue: English
Weight: 132 KB
Volume: 63
Category: Article
ISSN: 0362-546X
DOI: 10.1016/j.na.2005.01.088

No coin nor oath required. For personal study only.

✦ Synopsis

A novel artificial neural network (ANN) suitable for computationally intensive problems is described in this paper. The usefulness of this ANN is demonstrated for the synthesis of a microstrip line. This ANN uses a standard neural network architecture consisting of a hetero-associative memory and exploits a fault-tolerant number representation, which gives significant insight into a new method of fault-tolerant computing. In addition this ANN provides an efficient method for synthesizing geometrical parameters of microwave devices, when stochastic features are incorporated in the synthesis process. Further research is required to investigate the potential of this new paradigm.

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