AWJ Data processing system

Version 2.05 (822 KB) by Jet_Cumt

model and multi-object optimization

203 Downloads

Updated 23 May 2020

The data processing system of abrasive jet machining is modeled by neural network optimized by adaptive genetic algorithm. Then multi-objective optimization is used to obtain the Pareto front solution set. Solve the front solution under experimental processing accuracy traversal. The system can also be used as a modeling and optimization tool in other fields.

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Lin, Jie, et al. “Study on ASJ Cutting of TC18, Based upon Multivariate Nonlinear Regression and SA-BP-AGA.” Materials, vol. 12, no. 12, MDPI AG, June 2019, p. 1902, doi:10.3390/ma12121902.

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Created with R2019b

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Version	Published	Release Notes
2.05	23 May 2020	纠正输出字符	Toolbox Zip
2.0	23 May 2020	It realizes modeling and single-objective and multi-objective optimization of other similar types of situations, and can visualize 2D and 3D Pareto solutions.	Toolbox Zip
1.05	19 May 2020	Added modeling program flow chart and multi-objective optimization diagram.	Toolbox Zip
1.0	19 May 2020		Download

MLA	Lin, Jie, et al. “Study on ASJ Cutting of TC18, Based upon Multivariate Nonlinear Regression and SA-BP-AGA.” Materials, vol. 12, no. 12, MDPI AG, June 2019, p. 1902, doi:10.3390/ma12121902.
APA	Lin, J., Zhou, X., Zhang, H., Wang, F., Xu, Q., & Guo, C. (2019). Study on ASJ Cutting of TC18, Based upon Multivariate Nonlinear Regression and SA-BP-AGA. Materials, 12(12), 1902. MDPI AG. Retrieved from https://doi.org/10.3390%2Fma12121902
BibTeX	@article{Lin_2019, doi = {10.3390/ma12121902}, url = {https://doi.org/10.3390%2Fma12121902}, year = 2019, month = {jun}, publisher = {{MDPI} {AG}}, volume = {12}, number = {12}, pages = {1902}, author = {Jie Lin and Xin Zhou and Hui Zhang and Fengchao Wang and Qiwen Xu and Chuwen Guo}, title = {Study on {ASJ} Cutting of {TC}18, Based upon Multivariate Nonlinear Regression and {SA}-{BP}-{AGA}}, journal = {Materials} }

AWJ Data processing system

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