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12 April 2004 Synthesis of electromagnetic devices with a novel neural network
Heriberto Jose Delgado, Michael H. Thursby, Fredric M. Ham
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Proceedings Volume 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II; (2004) https://doi.org/10.1117/12.549466
Event: Defense and Security, 2004, Orlando, Florida, United States
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.
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Heriberto Jose Delgado, Michael H. Thursby, and Fredric M. Ham "Synthesis of electromagnetic devices with a novel neural network", Proc. SPIE 5439, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II, (12 April 2004); https://doi.org/10.1117/12.549466
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KEYWORDS
Electromagnetism
Neural networks
Antennas
Artificial neural networks
Microwave radiation
Optimization (mathematics)
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