Information Journal Paper
APA:
CopyVALI, A.A., RAMESHT, M.H., SEIF, A., & GHAZAVI, R.. (2012). AN ASSESSMENT OF THE ARTIFICIAL NEURAL NETWORKS TECHNIQUE TO GEOMORPHOLOGIC MODELING SEDIMENT YIELD (CASE STUDY SAMANDEGAN RIVER SYSTEM). GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN), 22(4 (44)), 5-9. SID. https://sid.ir/paper/577407/en
Vancouver:
CopyVALI A.A., RAMESHT M.H., SEIF A., GHAZAVI R.. AN ASSESSMENT OF THE ARTIFICIAL NEURAL NETWORKS TECHNIQUE TO GEOMORPHOLOGIC MODELING SEDIMENT YIELD (CASE STUDY SAMANDEGAN RIVER SYSTEM). GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN)[Internet]. 2012;22(4 (44)):5-9. Available from: https://sid.ir/paper/577407/en
IEEE:
CopyA.A. VALI, M.H. RAMESHT, A. SEIF, and R. GHAZAVI, “AN ASSESSMENT OF THE ARTIFICIAL NEURAL NETWORKS TECHNIQUE TO GEOMORPHOLOGIC MODELING SEDIMENT YIELD (CASE STUDY SAMANDEGAN RIVER SYSTEM),” GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN), vol. 22, no. 4 (44), pp. 5–9, 2012, [Online]. Available: https://sid.ir/paper/577407/en