A novel method of reconstruction of order parameters in synergetic neural network is presented in this paper

Considering the neural network has the self learning ability

so we construct this linear transformantion using this ability. Additionally

considering the genetic algorithm has the globally optimal searching ability

so we can achieve these reconstruction parameters using genetic algorithm. The new method trained the synergetic neural network using genetic algorithm on the training samples set

after the convergence of genetic algorithm

the reconstruction parameters can be got. In the theory

genetic algorithm can achieve the globally optimal reconstruction parameters after infinite computation

which can be guaranteed by itself theory. So this method completely solves the construction of reconstruction parameters on the theory. The test on the samples from real applications shows:new method really can find a group of reconstruction parameters which improves the performance of synergetic neural network greatly.