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:

378
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

Simulation of Groundwater Level Using the Hybrid Model Wavelet-Self Adaptive Extreme Learning Machine

Pages

  975-986

Abstract

 In present study, the groundwater level of the Kabodarahang region located in Hamadan Province was simulated using novel techniques such as Self-Adaptive Extreme Learning Machine (SAELM) and WaveletSelf-Adaptive Extreme Learning Machine (WA-SAELM). Firstly, the effective lags were detected using the autocorrelation function and then ten models were developed for each SAELM and WA-SAELM methods. By evaluating the results of the models, WA-SAELM was introduced as the superior method. The analysis of the Simulation results showed that the superior model had a high accuracy in estimating the groundwater level. For the superior model, the correlation coefficient (R), Root Mean Squared Error (RMSE) and Nash-Sutcliffe efficiency coefficient (NSC) were calculated to be 0. 969, 0. 358 and 0. 939, respectively.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    MALEKZADEH, MARYAM, KARDAR, SAEID, & SHABANLOU, SAEID. (2020). Simulation of Groundwater Level Using the Hybrid Model Wavelet-Self Adaptive Extreme Learning Machine. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 51(4 ), 975-986. SID. https://sid.ir/paper/365923/en

    Vancouver: Copy

    MALEKZADEH MARYAM, KARDAR SAEID, SHABANLOU SAEID. Simulation of Groundwater Level Using the Hybrid Model Wavelet-Self Adaptive Extreme Learning Machine. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2020;51(4 ):975-986. Available from: https://sid.ir/paper/365923/en

    IEEE: Copy

    MARYAM MALEKZADEH, SAEID KARDAR, and SAEID SHABANLOU, “Simulation of Groundwater Level Using the Hybrid Model Wavelet-Self Adaptive Extreme Learning Machine,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 51, no. 4 , pp. 975–986, 2020, [Online]. Available: https://sid.ir/paper/365923/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