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We used the ant colony pheromones in the intelligent learning. Proposed an intelligence network based on ant colony pheromones and TSP problem. The ant colony pheromones was in hierarchical distribution in the network, Recording of the learning and related information by the residual pheromones, so realized intelligent decision. We use the path choosing in the ant colony algorithm as decision of the...
Introducing the rank-weight method into the basic ant colony optimization (ACO), we use the modified ACO to optimize the weights and thresholds value of neural networks (NN). And when the BPNN is being trained, this method can solve the disadvantages of running into the minimum easily, and enhance the convergence speed. So we get a heuristic method, which is good at time efficiency and derivation...
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