Research Article
Prediction of Ammunition Storage Reliability Based on Improved Ant Colony Algorithm and BP Neural Network
Algorithm 1
IACO-BP (improved ant colony optimization Bp).
| Initialize the ant colony parameters; | | begin: | | while(ants_i<ants_num) | | _i chooses paths based on pheromone concentration; | | ants_i ++ | | //Select different strategies in stages | | if(iterations_num<N1) | | pheromones according to pheromone pure increase strategy | | if(N1<iterations_num<N2) | | pheromones according to pheromone accumulation and | | volatilization strategy | | if(iterations_num>N2) | | pheromones according to pheromone doubling strategy | | | | if (current_error>margin_error) | | ants_i=1; | | goto begin; | | else | | Input ant colony result is the initial solution of neural network; | | neural network training; | | resulte = neural network training results; | | return resulte; |
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