Identification of Three Dimension Vibration System Based on L-M Algorithm with Learning Rate

Abstract:

The vibration control platform is designed involving periodical micro- vibration in Three Dimension (3D) scanning system. The system is identified utilizing neural network based on Levenberg - Marquardt (L-M) algorithm. The L-M algorithm is the combination of the steepest decent algorithm with the Gauss - Newton algorithm so that it has the faster speed of convergence and higher approach accuracy. Compared with the rational BP, the simulation result showed the LM algorithm with learning rate speed up learning process, reduce training time with improve identification accuracy greatly. The identification effect is good.

• Periodical: Advanced Materials Research (Volumes 479-481)
• Pages: 1225-1229
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.479-481.1225
• Online since: February 2012
• Authors: Shao Man Liu, Zhao Lin Wu
• Keywords: L-M Algorithm, Neural Network (NN), System Identification, Three Dimension Scanning System

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