Dam Safety Monitoring Forecast Model Based on CPSO

By using steepest descend algorithm to calculate the networks weights, traditional BP networks model in the dam safety monitoring is complex in calculation process and will easily fall into local extreme point. To solve the shortages, the cooperative particle swarm optimization algorithm is proposed to optimize the weights of the neural networks for dam safety monitoring. Firstly, the calculation of the networks weights is converted into the particle swarm optimization. Then the calculation is realized by the cooperative particle swarm optimization. The result of application shows that with easy calculation, fast convergence and high precision, the neural network model based on the cooperative particle swarm optimization algorithm provides a useful new method for the dam safety monitoring.