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Article

Modeling of Complex Manufacturing Processes by Hierarchical Fuzzy Basis Function Networks With Application to Grinding Processes

[+] Author and Article Information
Cheol W. Lee, Yung C. Shin

School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907

J. Dyn. Sys., Meas., Control 126(4), 880-890 (Mar 11, 2005) (11 pages) doi:10.1115/1.1849247 History: Received July 29, 2001; Revised January 21, 2004; Online March 11, 2005
Copyright © 2004 by ASME
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Figures

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FBFN with four fuzzy rules
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Convergence of GA runs when the ALS algorithm was applied to Example 1
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A comparison of training and testing errors between the ALS algorithm and backpropagation algorithm applied to Example 1
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Network structure for Example 2
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A comparison of training and testing errors between the HFBFN and NNs trained by the ALS algorithm and L–M algorithm, respectively
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Hierarchical structure of the maximum residual stress model
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A comparison between outputs from the regression model and experimental data for the residual stress
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A comparison between outputs from the FBFN model and experimental data for the residual stress
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Validation of the FBFN surface roughness model for 16 sets of grinding conditions
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Validation of the FBFN maximum residual stress model for 16 sets of grinding conditions
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A comparison between the prediction by the regression model and experimental data for the residual stress
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Fuzzy membership functions for the input variable sd
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Fuzzy membership functions for the input variable ad
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Fuzzy membership functions for the input variable vw
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Fuzzy membership functions for the input variable st
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Singleton fuzzy membership functions for the output variable Ra

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