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Inversion of Feedforward Neural Networks: Algorithms And Applications (1999)  (Make Corrections)  (2 citations)
Craig A. Jensen, Russell D. Reed, Robert J. Marks, II, Mohamed A. El-Sharkawi, Jae-Byung Jung, Robert T. Miyamoto, Gregory M. Anderson, Christian J. Eggen



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Abstract: This paper surveys existing methodologies for neural network inversion, which is illustrated by its use as a tool in query-based learning, sonar performance analysis, power system security assessment, control, and generation of codebook vectors. Keywords---Adaptive sonar, constrainted inversion, feedforward neural networks, multilayer perceptron, nonlinear system inversion, power system security assessment, query-based learning (Update)

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BibTeX entry:   (Update)

C. A. Jensen, R. D. Reed, R. J. Marks II, M. A. El-Sharkawi, J.-B. Jung, R. T. Miyamoto, G. M. Anderson, and C. J. Eggen, "Inversion of feedforward neural networks: Algorithms and applications," Proc. IEEE, vol. 87, pp. 1536--1549, Sept. 1999. http://citeseer.ist.psu.edu/jensen99inversion.html   More

@misc{ jensen99inversion,
  author = "C. Jensen and R. Reed and R. El-Sharkawi and J. Jung and R. Miyamoto and
    G. Anderson and C. Eggen",
  title = "Inversion of feedforward neural networks: Algorithms and applications",
  text = "C. A. Jensen, R. D. Reed, R. J. Marks II, M. A. El-Sharkawi, J.-B. Jung,
    R. T. Miyamoto, G. M. Anderson, and C. J. Eggen, Inversion of feedforward
    neural networks: Algorithms and applications, Proc. IEEE, vol. 87, pp. 1536--1549,
    Sept. 1999.",
  year = "1999",
  url = "citeseer.ist.psu.edu/jensen99inversion.html" }
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