Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2013.1746.1752LiQiang WangShaoyu HuangXing 1020131310The future performance evaluation of landslide lake risk disposal
could provide a scientific basis to improve risk disposal of landslide lake.
The intelligent evaluation system based on the improved Compensation Fuzzy Neural
Network (CFNN) was introduced to the future performance evaluation of landslide
lake risk disposal, to solve fuzzy and non-linear evaluation problem of stability,
time, cost and ecological index. Through the simulation experiments, the future
performance evaluation on improved CFNN which had high convergence speed, fault
tolerance and adaptive ability, was an effective evaluation method of landslide
lake risk disposal.]]>Mandrone, G., A. Clerici and C. Tellini, 2007171-1727279Liu, N.,2008126772Chauhan, S.S., D.S. Bowls and L.R. Anderson,20042004pp: 1125Zhang, J.X.,20092009Clague, J.J. and S.G. Evans,20001917631783Ajami, N.K., H. Gupta, T. Wagener and S. Sorooshian,2004298112135Rumelhart, D.E., G.E. Hinton and R.J. Williams,1986323533536Zhang, Y.Q. and A. Kandel,1998Vol. 6,pp: 18-28pp: 18-28Wang, S.,1998pp: 66-68pp: 66-68Yin, X., X. Zhang and J. Xia,2007393540