BP neural network sensitivity analysis and application

Abstract

BP neural network as a data-mining technique can be used to factor analysis, but multi-layer BP neural network with hidden layer and between layers of neurons connected by weights staggered, so input variables on output variables. The size of impact is not intuitive. This research is based on different input variables change in value of the output variable degree of sensitivity analysis, the sensitivity of the size of the response by the input variables influence the output variables. Finally, application of the method on the cost factors affecting the sensitivity analysis, the factors that influence the ranking of a more reasonable level, the sensitivity of the BP neural network analysis of factors affecting the feasibility of certain. © Springer-Verlag 2010.