Back propagation neural network based on modified genetic algorithm and its application
Fangguo He · 2007
This paper mainly studies the optimization of BP neural network by applying modified genetic algorithm, and proposes a combined GA-ANN algorithms by the merging of modified genetic algorithms (GA) and artificial neural network. (ANN). At the same time, a coding method is presented for genetic algorithms. The experimental result shows that the algorithm can improve network generation ability and accuracy for forecasting.