According to the traditional mining method has been the realization process of complex problems

proposed multi-dimensional data based on immune genetic algorithm for mining non redundant cross layer

first through the Rodgers regression function to collect the multi-dimensional data

and through the consistency of the multi-dimensional data source and target domain to classify the multi-dimensional data

on the basis of through the analysis

the basic idea of immune genetic algorithm to realize the multi-dimensional data mining non redundant cross layer

determine the encoding scheme and the fitness function

and through genetic manipulation and group updates

complete multi-dimensional data based on immune genetic algorithm for mining non redundant cross layer. The experimental results show that the proposed algorithm for multi-dimensional data mining non redundant cross layer

the implementation process is relatively simple

less impact on the computer network running speed

wide application

to provide new ideas for the development of this field.