Application of optimized neural network based on particle swarm optimization algorithm in fault diagnosis

In this paper an algorithm based on particle swarm optimization algorithm for RBF neural network is proposed. With particle swarm optimization algorithm, neural network weights are optimized. Also through the dynamic regulation of the number of radial basis function in neural network hidden layer, n...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Bingxiang Zhong, Debiao Wang, Taifu Li
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Condition monitoring Employee welfare Fault diagnosis Feedforward neural networks Feeds Gearbox Multi-layer neural network Neural networks Particle swarm optimization Particle swarm optimization algorithm Pattern recognition RBF neural networks Signal processing algorithms
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