ESTIMATION OF LOESS SLOPE STABILITY WITH IMPROVED BP NEURAL NETWORK
Jianbing Peng · Journal of Geological Hazards and Environment Preservation · 2002
Several methods used in improving BP neural network are introduced in this paper. Based on the data collected gathered from projects in typical loess areas, the stability of typical loess slopes is assessed with consideration of various natural factors, such as slope height, grade, intensify index, friction angle, bulk density, pore water pressure and earthquake intensity. Comparing the assessment results with those gained by traditional calculation suggests that that this method of assessment is accurate and convenient, and worth being popularized.