Void Identifying of Concrete Pavement Slab Based on Integrated Neural Networks

From the point of the practice of damage identification in engineering structures, the integrated neural networks concrete pavement slab void identification technology of was put forward based on the information fusion theory. Taking the sub-neural networks as primary void identification from different sides, the conclusion is gained through decision-making fusion. The realizable policy of the identification system and the established principles of the sub-neural networks are presented. It can be educed from the examples that it takes full advantages of diversified characteristic information, and it improves the identification rate efficiently as well.