References:
1. Anonymous. 2007. Neural networktoolbox 5, User’s guide, 9thprinting version 5. The MathworksInc. Massachusetts, USA.
2. Azaraderakhsh, M., Ghodsiyan, M.,Norouzi, H. R.(1385). EstimationMaximum Depth of Scour around
Abutments Using Artificial NeuralNetwork", 7th InternationalCongeress of civil engineering,University of Tarbiat Modares,Tehran.(In Persian)
3. Azmathullah, HM., Deo, MC.,Deolalikar, PB. 2005. Neuralnetwork for estimation of scourdownstream of a skew-jumpbucket. , J. Hydraul. Eng,131(10):898-908.
4. Azmathullah, HM., Deo, MC.,Deolalikar, PB. 2006. Estimationof scour below spillways usingneural network scour downstreamof a skew-jump bucket. , J.Hydraul. Eng, 44(1):61-69.
5. Basheer, IA., and Hajmeer, M.2000. Artificial neural networks:fundamentals, computing, design,
and application. J MicrobiologicMeth 43: 3-31.
6. Barbhuya, AK., Dey, S. 2004.Local scour at abutment: a review.Sadhana. 29(5):449-476.
7. Dehghani, A. A., Hashemi Najafi,S. F., Ayoubzadeh, S. A.,Meshkati, M. E. (1388). IntelligentEstimation of Maximum ScourDepth around L-shapedAbutments Using Artificial NeuralNetwork and Interference NeroFuzzy
System. Journal of Soil andWater Conservation, 16(1), 143-161.(In Persian)
8. Ettema, R., and. Muste., M. 2003.An Overview of Scour Types andScour-Estimation DifficultiesFaced at Bridge Abutments. IIHR,Hydroscience and Engineering.Department of Civil andEnvironmental Engineering. TheUniv. of Iowa, Iowa City, IA52242.
9. Haykin, S. 1999. Neural networks:A comprehensive foundation. NJ.Prentice-Hall Inc. EnglewoodCliffs. pp. 842.
10. Jain, SK., Singh, VP., F.ASCE andvan Genuchten, MTh. 2004.Analysis of soil water retentiondata using artificial neuralnetworks. J. Hydrol. Engin.ASCE. 9 (5): 415-420.
11. Jeng, DS., Bateni, SM., Locket, E.2005. Neural network Assessmentfor Scour Depth around BridgePiers. Research Report NO R855,Department Of Civil Engineering,University Of Sydney, Australia.pp.89.
12. Kambekar, AR., Deo, MC. 2003.Estimation of Group Pile ScourUsing Neural Networks. AppliedOcean Res. 25:225-234.
13. Kuhnle, R. A., Alonso, C. V., andShields, F. D. 1999. Geometry ofscour holes associated with 90°spur dikes. J. Hydraul.Engin.,125(9):972–978.
14. Li, WX., Dai, LF., Hou, XB., Lei,W. 2007. Fuzzy GeneticProgramming Method for Analysisof Ground Movements Due toUnderground Mining.International Journal of RockMechanics and Mining Sciences.44(6):954-961.
15. Lin, JY., Cheng, CT., Chau, KW.2006. Using support vectormachines for long-term dischargeprediction. J. Hydrolog. Engin.51(4):599-612.
16. Liriano, SL., Day, RA. 2001.Prediction of scour depth at culvertoutlets using neural networks. J.Hydraul Engin, 3(4):231-238.
17. Melville, BW. 1992. Local scourat bridge abutments. J. Hydraul.Engin, 118(4):615-631
18. Sayyadi, H., Sadradini, A. A.,Farsadizadeh, D., Ghorbani, M. A.(1388). Intelligent Simulation ofSprinkler water DistributionPattern of Individual Variation inWind. Journal of Irrigation andDrainage of Iran.1 (3):25-35. (InPersian).
19. Zaghloul, N.A. 1983. Local scouraround spur-dikes. J. Hydrology.,60. 123-140.