1 December 1990 Neural network processing of fiber optic sensors and sensor arrays
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Proceedings Volume 1370, Fiber Optic Smart Structures and Skins III; (1990) https://doi.org/10.1117/12.24852
Event: SPIE Microelectronic Interconnect and Integrated Processing Symposium, 1990, San Jose, United States
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
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Barry G. Grossman, Barry G. Grossman, Howard Hou, Howard Hou, Ramzi H. Nassar, Ramzi H. Nassar, Anbang Ren, Anbang Ren, Michael H. Thursby, Michael H. Thursby, } "Neural network processing of fiber optic sensors and sensor arrays", Proc. SPIE 1370, Fiber Optic Smart Structures and Skins III, (1 December 1990); doi: 10.1117/12.24852; https://doi.org/10.1117/12.24852

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