Optimization of variable blank holder force in deep drawing based on support vector regression model and trust region
Summary
Optimization of variable blank holder force in deep drawing based on support vector regression model and trust region is a scholarly article[1].
Key Facts
Optimization of variable blank holder force in deep drawing based on support vector regression model and trust region's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Optimization of variable blank holder force in deep drawing based on support vector regression model and trust region. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimization-of-variable-blank-holder-force-in-deep-drawing-based-on-support-vector-regression-model-and-trust-region
MLA“Optimization of variable blank holder force in deep drawing based on support vector regression model and trust region.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimization-of-variable-blank-holder-force-in-deep-drawing-based-on-support-vector-regression-model-and-trust-region.
BibTeX@misc{4ortxyz_optimization-of-variable-blank-holder-force-in-deep-drawing-based-on-support-vector-regression-model-and-trust-region_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimization of variable blank holder force in deep drawing based on support vector regression model and trust region}}, year = {2026}, url = {https://4ort.xyz/entity/optimization-of-variable-blank-holder-force-in-deep-drawing-based-on-support-vector-regression-model-and-trust-region}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimization of variable blank holder force in deep drawing based on support vector regression model and trust region — https://4ort.xyz/entity/optimization-of-variable-blank-holder-force-in-deep-drawing-based-on-support-vector-regression-model-and-trust-region (retrieved 2026-05-24)
