메뉴 건너뛰기




Volumn 24, Issue 11, 2010, Pages 2673-2688

Daily Outflow Prediction by Multi Layer Perceptron with Logistic Sigmoid and Tangent Sigmoid Activation Functions

Author keywords

Activation functions; ANN models; Daily outflow; Iran; Khosro Shirin watershed; Randomized data

Indexed keywords

ACTIVATION FUNCTIONS; ANN MODELS; DAILY OUTFLOW; IRAN; KHOSRO SHIRIN WATERSHED; RANDOMIZED DATA;

EID: 77955735474     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-009-9573-4     Document Type: Article
Times cited : (145)

References (21)
  • 1
    • 34248202148 scopus 로고    scopus 로고
    • Artificial neural network model for synthetic streamflow generation
    • Ahmed JA, Sarma AK (2009) Artificial neural network model for synthetic streamflow generation. Water Resour Manag 21: 1015-1029.
    • (2009) Water Resour Manag , vol.21 , pp. 1015-1029
    • Ahmed, J.A.1    Sarma, A.K.2
  • 2
    • 77955745076 scopus 로고    scopus 로고
    • Amin S, Soltani Tudeshki AR (2003) Using artificial neural networks in prediction runoff and sediment. In: Proceeding of water-saving agricultural and sustainable use of water and land resources, vol 2. Yangling, Shaanxi, China, pp 821-832.
  • 3
    • 0034174280 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology. I: Preliminary concepts
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology
    • ASCE Task Committee on Application of Artificial Neural Networks in Hydrology (2000) Artificial neural networks in hydrology. I: preliminary concepts. J Hydrol Eng 5(2): 115-123.
    • (2000) J Hydrol Eng , vol.5 , Issue.2 , pp. 115-123
  • 5
    • 0032005702 scopus 로고    scopus 로고
    • An artificial neural network approach to rainfall-runoff modeling
    • Dawson CW, Wilby R (1998) An artificial neural network approach to rainfall-runoff modeling. Hydrol Sci J 43(1): 47-66.
    • (1998) Hydrol Sci J , vol.43 , Issue.1 , pp. 47-66
    • Dawson, C.W.1    Wilby, R.2
  • 6
    • 35448991280 scopus 로고    scopus 로고
    • Hydrologic data exploration and river flow forecasting of a humid tropical river basin using artificial neural networks
    • Gopakumar R, Takara K, James EJ (2007) Hydrologic data exploration and river flow forecasting of a humid tropical river basin using artificial neural networks. Water Resour Manag 21: 1915-1940.
    • (2007) Water Resour Manag , vol.21 , pp. 1915-1940
    • Gopakumar, R.1    Takara, K.2    James, E.J.3
  • 9
    • 34548146808 scopus 로고    scopus 로고
    • Streamflow forecasting using different artificial neural network algorithms
    • Kisi O (2007) Streamflow forecasting using different artificial neural network algorithms. J Hydrol Eng 12(5): 532-539.
    • (2007) J Hydrol Eng , vol.12 , Issue.5 , pp. 532-539
    • Kisi, O.1
  • 10
    • 16444365723 scopus 로고    scopus 로고
    • Rainfall-runoff modeling using artificial neural networks: Comparison of network types
    • Kumar APS, Sudheer KP, Jain SK, Agarwal PK (2005) Rainfall-runoff modeling using artificial neural networks: comparison of network types. Hydrol Process 19: 1277-1291.
    • (2005) Hydrol Process , vol.19 , pp. 1277-1291
    • Kumar, A.P.S.1    Sudheer, K.P.2    Jain, S.K.3    Agarwal, P.K.4
  • 11
    • 0033957764 scopus 로고    scopus 로고
    • Neural networks for the prediction and forecasting of water resources variables: A review of modeling issues and applications
    • Maier HR, Dandy GC (2000) Neural networks for the prediction and forecasting of water resources variables: a review of modeling issues and applications. Environ Model Softw 15: 101-123.
    • (2000) Environ Model Softw , vol.15 , pp. 101-123
    • Maier, H.R.1    Dandy, G.C.2
  • 12
    • 63149104793 scopus 로고    scopus 로고
    • Multi-criteria validation of artificial neural network rainfall-runoff modeling
    • Modarres R (2009) Multi-criteria validation of artificial neural network rainfall-runoff modeling. Hydrol Earth Syst Sci 13: 411-421.
    • (2009) Hydrol Earth Syst Sci , vol.13 , pp. 411-421
    • Modarres, R.1
  • 13
    • 57549095413 scopus 로고    scopus 로고
    • Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques
    • Moghaddamnia A, Ghafari Gousheh M, Piri J, Amin S, Han D (2009) Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques. Adv Water Resour 32(1): 88-97.
    • (2009) Adv Water Resour , vol.32 , Issue.1 , pp. 88-97
    • Moghaddamnia, A.1    Ghafari Gousheh, M.2    Piri, J.3    Amin, S.4    Han, D.5
  • 14
    • 0001362410 scopus 로고
    • The Levenberg-Marquardt algorithm: Implementation and theory, numerical analysis
    • G. A. Watson (Ed.), New York: Springer
    • More JJ (1977) The Levenberg-Marquardt algorithm: implementation and theory, numerical analysis. In: Watson GA (ed) Lecture notes in mathematics 630. Springer, New York, pp 105-116.
    • (1977) Lecture Notes in Mathematics 630 , pp. 105-116
    • More, J.J.1
  • 15
    • 33751316466 scopus 로고    scopus 로고
    • Zand-Parsa Sh Daily stream flow prediction capability of artificial neural networks as influenced by minimum air temperature data
    • Nayebi M, Khalili D, Amin S, Zand-Parsa Sh (2006) Daily stream flow prediction capability of artificial neural networks as influenced by minimum air temperature data. Biosyst Eng 95(4): 557-567.
    • (2006) Biosyst Eng , vol.95 , Issue.4 , pp. 557-567
    • Nayebi, M.1    Khalili, D.2    Amin, S.3
  • 16
    • 77955758563 scopus 로고    scopus 로고
    • Maximum daily discharge prediction using multi layer perceptron network
    • EGU General Assembly 2009
    • Rezaeian Zadeh M, Abghari H, van de Giesen N, Nikian A, Niknia N (2009) Maximum daily discharge prediction using multi layer perceptron network. Geophys Res Abstr 11: 3652-3652, EGU General Assembly 2009.
    • (2009) Geophys Res Abstr , vol.11 , pp. 3652-3652
    • Rezaeian Zadeh, M.1    Abghari, H.2    van de Giesen, N.3    Nikian, A.4    Niknia, N.5
  • 18
    • 77952290338 scopus 로고    scopus 로고
    • A comparative study of daily pan evaporation estimation using ANN, regression and climate based models
    • doi:10.1007/s11269-009-9514-2
    • Shirsath PB, Singh AK (2009) A comparative study of daily pan evaporation estimation using ANN, regression and climate based models. Water Resour Manag. doi: 10. 1007/s11269-009-9514-2.
    • (2009) Water Resour Manag.
    • Shirsath, P.B.1    Singh, A.K.2
  • 19
    • 28344451647 scopus 로고    scopus 로고
    • Soroosh M, Gity F, Sherafat AR, Farahani Kh, Razaghi M (2005) A neural network model for determination of the breakdown voltage for separate absorption and multiplication region avalanche photodiode (SAM-APD). Second IEEE Conf. on Wireless and Optical Communication Networks, UAE, pp 173-177.
  • 20
    • 0037197571 scopus 로고    scopus 로고
    • A data driven algorithm for constructing artificial neural network rainfall-runoff models
    • Sudheer KP, Gosain AK, Ramasastri KS (2002) A data driven algorithm for constructing artificial neural network rainfall-runoff models. Hydrol Process 16(6): 1325-1330.
    • (2002) Hydrol Process , vol.16 , Issue.6 , pp. 1325-1330
    • Sudheer, K.P.1    Gosain, A.K.2    Ramasastri, K.S.3
  • 21
    • 0033167344 scopus 로고    scopus 로고
    • Rainfall-runoff modeling using artificial neural networks
    • Tokar AS, Johnson A (1999) Rainfall-runoff modeling using artificial neural networks. J Hydrol Eng ASCE 4(3): 232-239.
    • (1999) J Hydrol Eng ASCE , vol.4 , Issue.3 , pp. 232-239
    • Tokar, A.S.1    Johnson, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.