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- W1968761949 abstract "This paper describes the usage of neural networks in the application of speckle patterns, as seen at the output of an optical waveguide, for sensing displacement/force. The neural network trained for displacement values within a 1.5 micrometers range is found to generalize with less than +/- 0.02 micrometers error in the input range. It is found that a functional-link net with 11 functional links and 3 neurons can be trained for a convergence criterion of 1e-05 in less than 3000 iterations. The error in the individual targeted output during training was less than +/- 0.01 micrometers . Thus an integrated-optics sensor is now feasible." @default.
- W1968761949 created "2016-06-24" @default.
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- W1968761949 date "1993-03-02" @default.
- W1968761949 modified "2023-10-18" @default.
- W1968761949 title "<title>Smart integrated-optics displacement/force sensor based on speckle pattern detection using neural-net with 0.1-A resolution</title>" @default.
- W1968761949 doi "https://doi.org/10.1117/12.141229" @default.
- W1968761949 hasPublicationYear "1993" @default.
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