Application of RBF Neural Network in WEDM

Shi Ping Zhang; Yi Chao Ding; Jing Wang; Yuan Hui Li

doi:10.4028/www.scientific.net/AMR.468-471.607

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Application of RBF Neural Network in WEDM

Application of RBF Neural Network in WEDM

Abstract:

It is difficult to build a strict mathematical model for WEDM due to the complication of the machining process and the nonlinear relation between process parameters and process targets. The neural network is suited to the modeling of complex system, because it has the functions of self-organized, self-learning and associative memory, and properties of distributed parallel type and high robustness. Therefore, this paper attempts to use the RBF neural network for the process modeling of WEDM.

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Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

607-612

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https://doi.org/10.4028/www.scientific.net/AMR.468-471.607

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Online since:

February 2012

Authors:

Shi Ping Zhang, Yi Chao Ding, Jing Wang, Yuan Hui Li

Keywords:

Process Modeling, RBF Neural Network, WEDM

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