Neural network processing of fiber optic sensors and sensor arrays

Barry G. Grossman; Howard Hou; Ramzi H. Nassar; Anbang Ren; Michael H. Thursby

doi:10.1117/12.24852

1 December 1990 Neural network processing of fiber optic sensors and sensor arrays

Barry G. Grossman, Howard Hou, Ramzi H. Nassar, Anbang Ren, Michael H. Thursby

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

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

Citation Download Citation

Barry G. Grossman, Howard Hou, Ramzi H. Nassar, Anbang Ren, and 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); https://doi.org/10.1117/12.24852

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