Information Journal Paper
APA:
CopyBANDYOPADHYAY, G., & CHATTOPADHYAY, S.. (2007). SINGLE HIDDEN LAYER ARTIFICIAL NEURAL NETWORK MODELS VERSUS MULTIPLE LINEAR REGRESSION MODEL IN FORECASTING THE TIME SERIES OF TOTAL OZONE. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST), 4(1 (13)), 141-149. SID. https://sid.ir/paper/285007/en
Vancouver:
CopyBANDYOPADHYAY G., CHATTOPADHYAY S.. SINGLE HIDDEN LAYER ARTIFICIAL NEURAL NETWORK MODELS VERSUS MULTIPLE LINEAR REGRESSION MODEL IN FORECASTING THE TIME SERIES OF TOTAL OZONE. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST)[Internet]. 2007;4(1 (13)):141-149. Available from: https://sid.ir/paper/285007/en
IEEE:
CopyG. BANDYOPADHYAY, and S. CHATTOPADHYAY, “SINGLE HIDDEN LAYER ARTIFICIAL NEURAL NETWORK MODELS VERSUS MULTIPLE LINEAR REGRESSION MODEL IN FORECASTING THE TIME SERIES OF TOTAL OZONE,” INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST), vol. 4, no. 1 (13), pp. 141–149, 2007, [Online]. Available: https://sid.ir/paper/285007/en