Chebyshev neural network model with linear and nonlinear active functions

  • Authors

    • Sarkhosh Seddighi Chaharborj Department of Mathematics, UPM, Malaysia.Nuclear Science Research School, Nuclear Science and Technology Research Institute (NSTRI), Iran
    • Yaghoub Mahmoudi
    2016-09-10
    https://doi.org/10.14419/ijbas.v5i3.6382
  • Lane-Emden equation, Chebyshev Neural Network, Error back propagation algorithm, Feed forward neural network.
  • In this paper the second order non-linear ordinary differential equations of Lane-Emden type as singular initial value problems using Chebyshev Neural Network (ChNN) with linear and nonlinear active functions has been studied. Active functions as, \(\texttt{F(z)=z}, \texttt{sinh(x)}, \texttt{tanh(z)}\) are considered to find the numerical results with high accuracy. Numerical results from Chebyshev Neural Network shows that linear active function has more accuracy and is more convenient compare to other functions.
  • References

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  • How to Cite

    Seddighi Chaharborj, S., & Mahmoudi, Y. (2016). Chebyshev neural network model with linear and nonlinear active functions. International Journal of Basic and Applied Sciences, 5(3), 182-187. https://doi.org/10.14419/ijbas.v5i3.6382