Journal of Engineering and Applied Sciences
Year:
2017
Volume:
12
Issue:
11
Page No.
2788 - 2794
References
Allenmark, F., Y.F. Hsu, C. Roussel and F. Waszak, 2015. Repetition priming results in sensitivity attenuation. Brain Res., 1626: 211-217.
PubMed | Direct Link | Conforti, M., S. Pascale, G. Robustelli and F. Sdao, 2014. Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment: Northern Calabria, Italy. Catena, 113: 236-250.
Direct Link | Gupta, N., K.K. Yadav and V. Kumar, 2015. A review on current status of municipal solid waste management in India. J. Environ. Sci., 37: 206-217.
PubMed | Direct Link | Jafar, R., I. Shahrour and I. Juran, 2010. Application of Artificial Neural Networks (ANN) to model the failure of urban water mains. Math. Comput. Modelling, 51: 1170-1180.
CrossRef | Kia, M.B., S. Pirasteh, B. Pradhan, A.R. Mahmud and W.N.A. Sulaiman
et al., 2012. An artificial neural network model for flood simulation using GIS: Johor river Basin, Malaysia. Environ. Earth Sci., 67: 251-264.
CrossRef | Direct Link | Pijanowski, B.C., A. Tayyebi, J. Doucette, B.K. Pekin and D. Braun
et al., 2014. A big data urban growth simulation at a national scale: Configuring the GIS and neural network based land transformation model to run in a High Performance Computing (HPC) environment. Environ. Modell. Software, 51: 250-268.
Direct Link | Pradhan, B. and S. Lee, 2010. Landslide susceptibility assessment and factor effect analysis: Backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environ. Modell. Software, 25: 747-759.
CrossRef | Xu, L., P. Gao, S. Cui and C. Liu, 2013. A hybrid procedure for MSW generation forecasting at multiple time scales in Xiamen City, China. Waste Manage., 33: 1324-1331.
PubMed | Direct Link |