Information Journal Paper
APA:
CopyZAMANIYAN, 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:
CopyZAMANIYAN 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:
CopyM. 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