Study on Evolutionary Neural Network Based on Ant Colony Optimization

The evolutionary neural network model can be generated combining the evolutionary optimization algorithm and neural network. Based on analysis of merits and demerits of previously proposed evolutionary neural network models, combining the continuous ant colony optimization proposed by author and BP neural network, a new evolutionary neural network whose architecture and connection weights evolve simultaneously is proposed. At last, through the typical XOR problem, the new ENN is compared and analyzed with BP neural network, traditional ENN based on genetic algorithm and evolutionary programming. The computing results show that the precision and efficiency of the new ENN are all better.