Open Access
Issue |
MATEC Web Conf.
Volume 355, 2022
2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|
|
---|---|---|
Article Number | 01028 | |
Number of page(s) | 8 | |
Section | Investigation in Physics and Materials | |
DOI | https://doi.org/10.1051/matecconf/202235501028 | |
Published online | 12 January 2022 |
- Huang HL. Prediction of warpage deformation of two-color plastic parts based on BP neural network[J]. Plastics Technology, 2019, 47(06):68–71. [Google Scholar]
- Wang, CF, Huang, M, Shen, CY, et al. Warpage prediction of the injection-molded strip-like plastic parts[J]. Chinese Journal of Chemical Engineering, 2016, 24(05):665–670. [CrossRef] [Google Scholar]
- Sun LL, Su XM. Optimization design of injection mold for automobile built-in storage box based on MPI [J]. China Plastics, 2018, 32(04):125–131. [Google Scholar]
- Wang HX, Wang JL, Huang Qixin. Reverse engineering modeling and die design for the back cover of hair dryer handle [J]. China Plastics, 2018, 32(11):131–135. [Google Scholar]
- Jiang AY, Zhang BF, Jia ZH, et al. Injection molding process optimization of long glass fiber reinforced polypropylene composites [J]. Plastics, 2020, 49 (03): 85–89 [Google Scholar]
- Sheng LJ. Research on Optimization of molding process of automotive sound plastic parts based on BP neural network[J]. Plastics Technology, 2018, 46(11): 44–48. [Google Scholar]
- Wang YL. Baltic dry bulk freight index forecast model based on GA-ELM [J]. China Logistics and Purchasing, 2019 (22): 37–38. [Google Scholar]
- Mei Y, Song PY, Chen LY, et al. Research and application of ga-elm based vibration prediction model for manipulator [J]. Computer simulation, 2019, 36 (09): 352–356 [Google Scholar]
- Ji N, Zhang WX, Yu YY, et al. Multi-objective optimization of injection molding based on optimal Latin hypercube sampling method and NSGA-II algorithm[J]. Engineering Plastics Application, 2020, 48(03): 72–77. [Google Scholar]
- Li JB, Yang QF. Study on injection molding process of POM oil pump bracket flange for automobile [J]. Application of Engineering Plastics, 2010(11): 39–42. [Google Scholar]
- Liu Q, Chen HR, Mei D, et al. Optimization of injection molding process parameters of navigation lights based on orthogonal experiment and BPNN-GA[J]. Journal of Plasticity Engineering, 2020, 27(07): 123–129. [Google Scholar]
- Ni HF, Si LT, Huang JP, et al. The extreme learning machine optimized by near-infrared spectroscopy and genetic algorithm realizes the rapid determination of effective ingredients in the purification process of Ginkgo biloba[J]. Chinese Journal of Chinese Materia Medica, 2021, 46(01): 110–117. [Google Scholar]
- Mei Y, Liu HB, Luo NK, et al. Analysis and prediction of die wear during precision forging of titanium alloy blades based on GA-ELM[J]. Forging Technology, 2020, 45(10):130–136. [Google Scholar]
- Zhang LB, Huang HS, Yao LG. Optimization of injection molding process parameters based on BP neural network and MIV algorithm[J]. Plastics Technology, 2018, 46(12): 94–99 [Google Scholar]
- Liu RJ, Zhang YW, Wen CW, et al. Orthogonal experimental design and analysis method research [J]. Experimental technology and management, 2010, 27 (09): 52–55. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.