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ZEMIN FU1,* , BINGKUN HU1
There is a common problem about rebound in the process of bending forming. It has a significant effect on Dimensional accuracy and productivity of parts. In this paper, the rebound prediction and research mainly through the BP neural network nonlinear characteristics. But the BP network is easy to fall into local minimum, and the genetic algorithm has good global search capability, so you can use the genetic algorithm to optimize its weights and thresholds to achieve a perfect bending rebound prediction and research..
Rebound, BP network, Genetic algorithm, The rebound prediction.
ZEMIN FU, BINGKUN HU, Prediction and research of bending rebound based on neural network, Optoelectronics and Advanced Materials - Rapid Communications, 9, 7-8, July-August 2015, pp.1028-1031 (2015).
Submitted at: Sept. 26, 2014
Accepted at: June 24, 2015
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
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