Advertisement

Application of Neural Networks

  • D. Andina
  • A. Vega-Corona
  • J. I. Seijas
  • M. J. Alarcòn
Chapter
  • 953 Downloads

This chapter is dedicated to the scope of which facts should be considered when deciding whether a Neural Network (NN) solution is suitable to solve a given problem. This is followed by a detailed example of a successful and useful application: a Neural Binary Detector

Keywords

Hide Layer Receiver Operating Characteristic Criterion Function Little Mean Square Training Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. M.S.Kim, C.C.Guest, Modification of backpropagation networks for complex-valued signal processing in frequency domain, IEEE Proc. Int. Conf. Neural Networks, IJCNN, Vol. III, pp. 27–31, San Diego, June 1990.Google Scholar
  2. S. E. Decatur, Application of neural networks to terrain classification, Proc. Int. Conf. Neural Networks, pp. 283–288, 1989.Google Scholar
  3. N. Miller, M.W. McKenna, T.C. Lau, Office of Naval Research Contributions to Neural Networks and Signal Processing in Oceanic Engineering, IEEE Journal of Oceanic Engineering, vol. 17, no. 4, Oct. 1992.Google Scholar
  4. M.W. Roth, Survey of neural network technology for automatic target recognition, IEEE Trans. Neural Networks, vol. 1, no. 1, pp. 28–43, Mar. 1990.CrossRefGoogle Scholar
  5. D.W. Ruck, S.K. Rogers, M. Kabrisky, M.E. Oxley, B.W. Suter, The Multilayer Perceptron as an Approximation to a Bayes Optimal Discriminant Function, IEEE Trans. on Neural Networks, vol. 1, no. 4, pp. 296–298, Dec. 1990.CrossRefGoogle Scholar
  6. H.L. Van Trees, Detection, Estimation and Modulation Theory, Part I, Eds. Wiley and Sons, New York, 1968.Google Scholar
  7. D.R. Hush and B.G. Horne, Progress in Supervised Neural Networks. What’s new since Lippmann?, IEEE Signal Processing Magazine, pp. 8–51, Jan. 1993.Google Scholar
  8. B.A. Telfer, H.H. Szu, Implementing the Minimum-Misclassification-Error Energy Function for Target Recognition, Neural Networks, vol. 7, no. 5, pp. 809–818, 1994.CrossRefGoogle Scholar
  9. B.A. Telfer, H.H. Szu, Energy Functions for Minimizing Misclassification Error With Minimum-Complexity Networks, Proc. of Int. Joint Conf. Neural Networks, IJCNN, vol IV, pp. 214–219, 1992.Google Scholar
  10. A. El-Jaroudi, J. Makhoul, A New Error Criterion For Posterior Probability Estimation With Neural Nets, Proc. of Int. Joint. Conf. Neural Networks, IJCNN, vol. I, no. 5, pp. 185–192, 1990.Google Scholar
  11. D. Andina, J.L. Sanz-Gonzàlez, On the problem of Binary Detection with Neural Networks, Proc. of 38 Midwest Symposium on Circuits and Systems, Rio de Janeiro, Brazil, vol. I, pp. 554–557, Aug. 1995.Google Scholar
  12. W.L. Root, An Introduction to the Theory of the Detection of Signals in Noise, Proc. of the IEEE, vol 58, pp. 610–622, May 1970.MathSciNetCrossRefGoogle Scholar
  13. D.Andina, Optimizaciòn de Detectores Neuronales: Aplicaciòn a Radar y Sonar, Ph. D. Dissertation (in Spanish), ETSIT-M, Polytechnic University of Madrid, Spain, Dec. 1995.Google Scholar
  14. J.L. Marcum, A Statistical Theory of Target Detection by Pulsed Radar, IRE Trans. on Information Theory, vol. IT-6, no. 2, pp. 59–144. Apr. 1960.CrossRefMathSciNetGoogle Scholar
  15. E. Barnard, D. Casasent, A Comparison Between Criterion Functions for Linear Classifiers, with Application to Neural Nets, IEEE Trans. Systems, Man, and Cybernetics, vol. 19, no. 5, pp. 1030–1040, Oct. 1989.CrossRefGoogle Scholar
  16. P. Swerling, Probability of detection for fluctuating targets, IRE Trans. on Information Theory, vol. IT-6, no. 2, pp. 269–308, Apr. 1960.CrossRefMathSciNetGoogle Scholar
  17. D. Andina, J.L. Sanz-Gonzàlez, J.A. Jimènez-Pajares, A Comparison of Criterion Functions for a Neural Network Applied to Binary Detection, Proc. of Int. Conf. Neural Networks, ICNN, Perth, Australia, Vol I, pp. 329–333, Nov. 1995.Google Scholar

Copyright information

© Springer 2007

Authors and Affiliations

  • D. Andina
    • 1
  • A. Vega-Corona
    • 2
  • J. I. Seijas
    • 3
  • M. J. Alarcòn
    • 3
  1. 1.Departamento de Señales, Sistemas y Radiocomunicaciones (SSR)Universidad Politècnica de Madrid (UPM)Ciudad Universitaria C.P. 28040España
  2. 2.Facultad de Ingenierìa, Mecànica, Elèctrica y Electrònica (FIMEE)Universidad de Guanajuato (UG)SalamancaMèxico
  3. 3.Departamento de Señales, Sistemas y Radiocomunicaciones (SSR)Universidad Politècnica de Madrid (UPM)Ciudad Universitaria C.P. 28040España

Personalised recommendations