Optimization of Injection Molding Parameters for Quality and Energy Consumption based on Genetic Algorithm and BP Neural Network

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Process Technology | 更新时间：2024-01-15

- Optimization of Injection Molding Parameters for Quality and Energy Consumption based on Genetic Algorithm and BP Neural Network
- Engineering Plastics Application Vol. 51, Issue 2, Pages: 67-73(2023)
- 作者机构：
  
  天津职业技术师范大学机械工程学院，天津 300222
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1001-3539.2023.02.011
  CLC： TQ321
- Received：11 October 2022，
  
  Published：10 February 2023
- 稿件说明：
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王晓东，王权，郑佳玉，等.基于GA-BP神经网络的注塑质量与能耗的工艺参数优化[J].工程塑料应用，2023，51(2)：67-73.

Wang Xiaodong，Wang Quan，Zheng Jiayu，et al. Optimization of injection molding parameters for quality and energy consumption based on genetic algorithm and BP neural network[J]. Engineering Plastics Application，2023，51(2)：67-73.
王晓东，王权，郑佳玉，等.基于GA-BP神经网络的注塑质量与能耗的工艺参数优化[J].工程塑料应用，2023，51(2)：67-73. DOI： 10.3969/j.issn.1001-3539.2023.02.011.

Wang Xiaodong，Wang Quan，Zheng Jiayu，et al. Optimization of injection molding parameters for quality and energy consumption based on genetic algorithm and BP neural network[J]. Engineering Plastics Application，2023，51(2)：67-73. DOI： 10.3969/j.issn.1001-3539.2023.02.011.

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Related Institution

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School of Automotive and Engineering，Wuhan University of Technology

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