Volume 27 Issue 5
May  2001
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ZHANG Guang. Applications of Artificial Neural Network to Opto Electric Measurements[J]. Journal of Beijing University of Aeronautics and Astronautics, 2001, 27(5): 564-568. (in Chinese)
Citation: ZHANG Guang. Applications of Artificial Neural Network to Opto Electric Measurements[J]. Journal of Beijing University of Aeronautics and Astronautics, 2001, 27(5): 564-568. (in Chinese)

Applications of Artificial Neural Network to Opto Electric Measurements

  • Received Date: 18 Aug 2000
  • Publish Date: 31 May 2001
  • Artificial neural network technology is getting wider and wider scale application. Following a brief introduction on neural network, its recent applications to optoelectric measurements were described in detail, including online monitoring grain protein based on NIR, structured light based 3D vision inspection, X ray real time detection of welding seam defect, and precision measurements of surface roughness and sphere radius. By summarizing its advantages and limitations in these applications, suggestions and comments were given for further research efforts in this field.

     

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  • [1] Metropolis N, Rosenbluth A, Rosenbluth M, et al. Equation of state calculations by fast computing machines[J]. Journal of Chemical Physics, 1953,21(6):1087~1092. [2] Kirkpatric S,Jr C D G, Vecchi M P. Optimization by simulated annealing. Science, 1983,220(5):671~679. [3] Dekkers A, Aarts E. Global optimization and simulated annealing[J]. Mathematical Programming, 1991,50:367~393. [4] 马颂德,张正友.计算机视觉[M].北京:科学出版社,1998.
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