Research and Development of LM Neural Network Prediction System for Grind-Hardening

Zhong Feng Pan; Gui Cheng Wang; Chong Lue Hua; Hong Jie Pei

doi:10.4028/www.scientific.net/KEM.416.248

Paper Titles

Design of Simultaneous Ultrasonic Effects in Grinding and Electrofinishing on Taper Hole
p.228

Dressing Technology on the Diamond Abrasive Grinding Wheels Using the Rotary Diamond Dresser
p.234

Analyzing the Familiar Failures and its Elimination of Hydraulic System which Affect the Processing Precision Grinding Machine
p.238

Drilling Force of SiC Particle Reinforced Aluminum-Matrix Composites with Ultrasonic Vibration
p.243

Research and Development of LM Neural Network Prediction System for Grind-Hardening
p.248

Finite Element Prediction of Grind-Hardening Layer Thickness
p.253

Modeling and Studying of Grinding Process Based on Autocad
p.259

Effect of Ti Addition on Shear Strength of Brazing Diamond and Ag Based Filler Alloy
p.264

Grinding Force and Surface Integrity on Dry Belt Grinding of TA15 Titanium Alloys
p.269

HomeKey Engineering MaterialsKey Engineering Materials Vol. 416Research and Development of LM Neural Network...

Research and Development of LM Neural Network Prediction System for Grind-Hardening

Abstract:

An improved neural network based on L-M algorithm has been applied to the prediction of the grind-hardening parameters against to the slow convergence rate of conventional BP neural network. And the the neural network model for grind-hardening is established. The neural network prediction system for grind-hardening process has been developed based on L-M algorithm. The functions of system is analyzed, particularly and some pivotal technology to realize the system are put forward.

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Advances in Grinding and Abrasive Technology XV

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Periodical:

Key Engineering Materials (Volume 416)

Pages:

248-252

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.416.248

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Online since:

September 2009

Authors:

Zhong Feng Pan, Gui Cheng Wang, Chong Lue Hua, Hong Jie Pei

Keywords:

Grind-Hardening, L-M Algorithm, Neural Network (NN), Prediction

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