مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

661
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

RUNOFF SIMULATION USING NEURAL-WAVELET NETWORK (CASE STUDY: CATCHMENT OF KHERSAN3 RIVER)

Author(s)

KARIMI S. | Issue Writer Certificate 

Pages

  1-14

Abstract

 Estimates, forecasts and RUNOFF management have always been an interest to researchers. Therefore, using any of the methods commonly used in estimating seemingly destructive phenomenon that, unfortunately, due to the complexity of the relationship between rainfall and RUNOFF and non-linearity of the relationship, the results are not good. Todays, with the advancement of science and the development of new techniques in all aspects of science, understanding and settle in for a good hope to have created such relationship. One of approaches that have attracted attention of researchers in recent decades is using of Neural Networks. In this study, the Neural- Wavelet Network for Estimating RUNOFF in Khersan catchment area is used. The results obtained from this model with results from a NEURAL NETWORK OF RETURN PROPAGATION and NEURAL NETWORK OF FUNDAMENTAL-RADIAL, as older models, compared and analyzed. Comparison of results was performed by correlation coefficient and Root Mean Square Error. The results show that the accuracy of the Neural- Wavelet Network compared to NEURAL NETWORK OF RETURN PROPAGATION and NEURAL NETWORK OF FUNDAMENTAL-RADIAL is better.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    KARIMI, S.. (2015). RUNOFF SIMULATION USING NEURAL-WAVELET NETWORK (CASE STUDY: CATCHMENT OF KHERSAN3 RIVER). WATER ENGINEERING, 8(24), 1-14. SID. https://sid.ir/paper/169346/en

    Vancouver: Copy

    KARIMI S.. RUNOFF SIMULATION USING NEURAL-WAVELET NETWORK (CASE STUDY: CATCHMENT OF KHERSAN3 RIVER). WATER ENGINEERING[Internet]. 2015;8(24):1-14. Available from: https://sid.ir/paper/169346/en

    IEEE: Copy

    S. KARIMI, “RUNOFF SIMULATION USING NEURAL-WAVELET NETWORK (CASE STUDY: CATCHMENT OF KHERSAN3 RIVER),” WATER ENGINEERING, vol. 8, no. 24, pp. 1–14, 2015, [Online]. Available: https://sid.ir/paper/169346/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button