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Neural Networks

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Abstract

Neural networks are networks of nerve cells (neurons) in the brain. The human brain has billions of individual neurons and trillions of interconnections. Neurons are continuously processing and transmitting information to one another.

Keywords

Initial Weight Values Performance Index Function Gaussian Function Parameters Radial Basis Function Vector Neural Nets 
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.

References

  1. 1.
    D. Graupe, Principles of Artificial Neural Networks (World Scientific Publishing, Singapore, 2013), p. 8CrossRefzbMATHGoogle Scholar
  2. 2.
    D.E. Rumelhart, G.E. Hinton, R.J. Williams, Learning internal representations by error propagation. Parallel Distrib. Process. 1, 318–362 (1986)Google Scholar
  3. 3.
    D.S. Broomhead, D. Lowe, Multivariable functional interpolation and adaptive networks. Complex Syst. 2, 321–355 (1988)MathSciNetzbMATHGoogle Scholar
  4. 4.
    J. Park, L.W. Sandberg, Universal approximation using radial-basis-function networks. Neural Comput. 3(2), 246–257 (1991)CrossRefGoogle Scholar
  5. 5.
    J.K. Liu, RBF Neural Network Control for Mechanical Systems_Design, Analysis and Matlab Simulation (Tsinghua & Springer Press, 2013)Google Scholar
  6. 6.
    S.S. Ge, T.H. Lee, C.J. Harris, Adaptive Neural Network Control of Robotic Manipulators (World Scientific, London, 1998)CrossRefGoogle Scholar
  7. 7.
    S.S. Ge, C.C. Hang, T.H. Lee, T. Zhang, Stable Adaptive Neural Network Control, Boston (Kluwer, MA, 2001)Google Scholar
  8. 8.
    F.L. Lewis, S. Jagannathan, A. Yȩildirek, Neural Network Control of Robot Manipulators and Nonlinear Systems (Taylor & Francis, London, 1999)Google Scholar
  9. 9.
    F.L. Lewis, J. Campos, R. Selmic, Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities. Frontiers in Applied Mathematics (2002)Google Scholar
  10. 10.
    H.A. Talebi, R.V. Patel, K. Khorasani, Control of Flexible-link Manipulators using Neural Networks, London (Springer, New York, 2000)zbMATHGoogle Scholar
  11. 11.
    Y.H. Kim, F.L. Lewis, High-Level feedback control with neural networks, Singapore (World Scientific, River Edge, NJ, 1998)CrossRefzbMATHGoogle Scholar
  12. 12.
    S.G. Fabri, V. Kadirkamanathan, Functional Adaptive Control: An Intelligent Systems Approach (Springer, New York, 2001)CrossRefzbMATHGoogle Scholar

Copyright information

© Tsinghua University Press, Beijing and Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Beihang UniversityBeijingChina

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