Torpedo Interception Based on Differential Game Strategy
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p.553
Data-Driven Based Temperature Prediction of Ferroalloy Electric Furnace Smelting Process
p.557
p.557
The Design and Realization of Ship Power Management System Based on Modbus
p.561
p.561
The Simulation Research of 5KVA/400Hz Medium Frequency Power Supply in Matlab/Simulink
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p.567
The Application of Radial Basis Function Neural Network in Springback Prediction of Sheet Flanging
p.571
p.571
Research of BP Neural Network Algorithm Testing Platform Based on OPC Communication
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Robust Integrity Design for Uncertain NCS with Actuator Saturation Based on Discrete Event-Triggered Communication Scheme
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The Design and Implement of AIS Simulator
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A Design and Implementation of Bootloader Based on MPC8280
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The Application of Radial Basis Function Neural Network in Springback Prediction of Sheet Flanging
Abstract:
Based on the convex (concave) arc sheet flanging experiment data, the springback prediction research in the sheet flanging was carried out, using radial basis function (RBF) neural network (NN) and the dynamic structure design method. By comparing with the experiment results, the validity of this method was verified.
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Info:
Periodical:
Applied Mechanics and Materials (Volumes 668-669)
Pages:
571-574
Citation:
Online since:
October 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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