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- W2014011108 abstract "For sophisticated smart structures where sensing and actuation is distributed over large areas or consists of dozens to thousands of discrete elements, the processing task is computationally intensive. Artificial neural networks offer an opportunity to implement a massively parallel architecture with near real time processing speed and the ability to learn the desired response. This overview of applied neural network processing projects at Florida Institute of Technology includes: processing polarimetric and N-mode strain sensor signals, damage assessment using embedded sensor arrays, and development of electrooptic neural networks" @default.
- W2014011108 created "2016-06-24" @default.
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- W2014011108 date "1990-12-01" @default.
- W2014011108 modified "2023-10-18" @default.
- W2014011108 title "Neural network processing of fiber optic sensors and sensor arrays" @default.
- W2014011108 doi "https://doi.org/10.1117/12.24852" @default.
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