Journal of Guangdong University of Technology ›› 2011, Vol. 28 ›› Issue (4): 55-58.

• Comprehensive Studies • Previous Articles     Next Articles

Research and Improvement of PID Neural Network

  

  1. Faculty of Applied Mathematics, Guangdong University of Technology, Guangzhou 510520, China
  • Online:2011-12-25 Published:2011-12-25

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Abstract: Considering that the neural network of Proportion Integration Differentiation (PID）can adjust online selflearning and has no static errors, it proposed an improved algorithm for classification of errors by analyzing the defects of the control method. Simulation was done for this improved algorithm. The results indicate that the improved algorithm can improve the performance of the network effectively.

Key words: convergent velocity； iteration error； neural network； simulation； proportion integration differentiation (PID）

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