Risks assessment for land consolidation projects based on compensative fuzzy neural network

At present, China´s risks assessment for land consolidation projects remains at the stage of qualitative description. Based on the risks analysis and construction of corresponding assessment index for land consolidation projects, this paper discusses the application of compensative fuzzy neural network to their risks assessment. And the 140 projects accepted in Chongqing in the year of 2006 are used as an example to validate the method. The result proves that the compensatory fuzzy neural network model for assessing the risks of land consolidation projects is feasible. It plays an active role in making the methods for risks assessment of land consolidation projects more quantitative, scientific and normalized. So it is of much theoretical value and practical significance.