Abstract
BP neural network is widely used as a multilayer feed forward neural network model. The paper puts forward a kind of adaptive learning rate algorithm and particle swarm optimization algorithm hybrid algorithm combining in order to solve the traditional BP algorithm is easy to fall into local extremum problem. So that the particle swarm optimization algorithm and adaptive learning rate algorithm are complementary. The hybrid algorithm has extensive mapping ability of neural networks and particle swarm rapid, global convergence characteristics. The simulation shows that the hybrid algorithm realizes the detection and location of analog circuit fault avoidance, has satisfied effect.
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