As a new form of benchmark land price ,the workload of traditional inspection method for hundreds of times increased grid point land price evaluation is too large and mostly inclines to one work line .The grid point benchmark land price inspection system based on the neural networks consists of 4 aspects‐source control ,process inspection and return ,results of validation ,and third‐party authentication ,w hich ensures the rationality of the results ;at the same time ,using the return error inspection and operation function of neural network ...
