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Information Journal Paper

Title

INPUT PARAMETERS PREPROCESSING IN ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO- FUZZY INFERENCE SYSTEM USING STEPWISE REGRESSION AND GAMMA TEST TECHNIQUES FOR ESTIMATION OF DAILY EVAPORATION

Pages

  63-76

Abstract

 The full text of this article is the Persian language, please for the view full text, refer to Persian Please click here to view the full text of this article

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  • Cite

    APA: Copy

    ZAMANIYAN, M., FATAHI, R., FATAHI, A.R., & HOSSEINPOUR, F.. (2012). INPUT PARAMETERS PREPROCESSING IN ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO- FUZZY INFERENCE SYSTEM USING STEPWISE REGRESSION AND GAMMA TEST TECHNIQUES FOR ESTIMATION OF DAILY EVAPORATION. IRANIAN OF IRRIGATION & WATER ENGINEERING, 3(9), 63-76. SID. https://sid.ir/paper/247408/en

    Vancouver: Copy

    ZAMANIYAN M., FATAHI R., FATAHI A.R., HOSSEINPOUR F.. INPUT PARAMETERS PREPROCESSING IN ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO- FUZZY INFERENCE SYSTEM USING STEPWISE REGRESSION AND GAMMA TEST TECHNIQUES FOR ESTIMATION OF DAILY EVAPORATION. IRANIAN OF IRRIGATION & WATER ENGINEERING[Internet]. 2012;3(9):63-76. Available from: https://sid.ir/paper/247408/en

    IEEE: Copy

    M. ZAMANIYAN, R. FATAHI, A.R. FATAHI, and F. HOSSEINPOUR, “INPUT PARAMETERS PREPROCESSING IN ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO- FUZZY INFERENCE SYSTEM USING STEPWISE REGRESSION AND GAMMA TEST TECHNIQUES FOR ESTIMATION OF DAILY EVAPORATION,” IRANIAN OF IRRIGATION & WATER ENGINEERING, vol. 3, no. 9, pp. 63–76, 2012, [Online]. Available: https://sid.ir/paper/247408/en

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