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:

316
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

136
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

PREDICTION OF LEAD CORROSION BEHAVIOR USING FEED-FORWARD ARTIFICIAL NEURAL NETWORK

Pages

  669-676

Abstract

 The Feed-Forward ARTIFICIAL NEURAL NETWORKS (FFANNs) were used to predict the CORROSION behavior of LEAD. A 3-9-2 network was adopted to train the networks and predict the LEAD CORROSION behavior. The descriptors (input) were obtained using experimental methods. Solution concentration, pH and passive time were selected as the ANN input to predict the CORROSION current and potential. To this end 80 samples were selected. The criterion of TSE was 0.004. It was found that the FFANNs could be used to predict the CORROSION of LEAD.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    JALILI, S., MAHJANI, M.G., & JAFARIAN, MOHAMMAD. (2008). PREDICTION OF LEAD CORROSION BEHAVIOR USING FEED-FORWARD ARTIFICIAL NEURAL NETWORK. JOURNAL OF THE IRANIAN CHEMICAL SOCIETY(JICS), 5(4), 669-676. SID. https://sid.ir/paper/282268/en

    Vancouver: Copy

    JALILI S., MAHJANI M.G., JAFARIAN MOHAMMAD. PREDICTION OF LEAD CORROSION BEHAVIOR USING FEED-FORWARD ARTIFICIAL NEURAL NETWORK. JOURNAL OF THE IRANIAN CHEMICAL SOCIETY(JICS)[Internet]. 2008;5(4):669-676. Available from: https://sid.ir/paper/282268/en

    IEEE: Copy

    S. JALILI, M.G. MAHJANI, and MOHAMMAD JAFARIAN, “PREDICTION OF LEAD CORROSION BEHAVIOR USING FEED-FORWARD ARTIFICIAL NEURAL NETWORK,” JOURNAL OF THE IRANIAN CHEMICAL SOCIETY(JICS), vol. 5, no. 4, pp. 669–676, 2008, [Online]. Available: https://sid.ir/paper/282268/en

    Related Journal Papers

  • No record.

    • 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