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dc.contributor.authorDelgado, Heriberto Jose
dc.contributor.authorThursby, Michael H.
dc.contributor.authorHam, Fredric
dc.date.accessioned2017-10-02T17:06:43Z
dc.date.available2017-10-02T17:06:43Z
dc.date.issued2004-04-12
dc.identifier.citationDelgado, H. J., Thursby, M. H., & Ham, F. M. (2004). Synthesis of electromagnetic devices with a novel neural network. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 5439 175-182en_US
dc.identifier.urihttp://hdl.handle.net/11141/1669
dc.descriptionAntenna synthesis, Finite Difference Time Domain Method (FD-TD), Group and weight scheme number representation, Microwave device optimization, Microwave device synthesis, Neural network, Randomization processes, Simple sum scheme number representationen_US
dc.description.abstractA 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 a 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleSynthesis of electromagnetic devices with a novel neural networken_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.549466


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