Monopole-gear optimization design based on neural network & Ant Colony Optimization

In order to raise the design efficiency and get the most excellent design effect, this paper combined ant colony optimization (ACO) algorithm and put forward a new kind of neural network, which based on ACO algorithm, and the implementing framework of ACO and NARMA model. It gives the basic theory, steps and algorithm; The test results show that rapid global convergence and reached the lesser mean square error(MSE) when compared with genetic algorithm, simulated annealing algorithm, the BP algorithm with momentum term.