1. Fernando, D.A. and Shamseldin, A.Y., Investigation of internal functioning of the radial basis function neural network river flow forecasting models, J. Hydrol. Eng., 2009, vol. 14, no. 3, pp. 286–92.
2. Babovic, V., Canizares, R., Jensen, H.R., and Klinting, A., Neural networks as routine for error updating of numerical models, J. Hydrol. Eng., 2001, vol. 127, no. 3, pp. 181–193.
3. Mozaffari, A., Scott, K.A., Chenouri, S., et al., A modular ridge randomized neural network with differential evolutionary distributor applied to the estimation of sea ice thickness, in Soft Computing, 2016, pp. 1–25.
4. Edwards, C.A., Moore, A.M., Hoteit, I., and Cornuelle, B.D., Regional ocean data assimilation, Annu. Rev. Mar. Sci., 2015, vol. 7, pp. 21–42.
5. Penny, S.G., Behringer, D.W., Carton, J.A., and Kalnay, E., A hybrid global ocean data assimilation system at NCEP, Intell. Autom. Soft Comput., 2015, vol. 143, no. 11, pp. 4660–4677.