Aiming at the universality and difference of neural network and genetic algorithm in graphic reconstruction design

this study takes Miao nationality batik graphic design as an example

and makes a comparative analysis of the application of the two. Firstly

neural network and genetic algorithm are used to reconstruct the frame of batik graphics. Combined with the topological configuration

the graphics elements are transformed and filled

and the graphics groups of different elements

the same structure and the same elements are generated

and the comprehensive features of the two algorithms for the example are compared and analyzed. The results show that these two algorithms have their own advantages and disadvantages among the four design elements:area ratio

pattern element

frame configuration and application scene diversity. And in this case

the total weight of BP neural network generation scheme is greater than the total weight of GA generation scheme

which is 0.5625.