Hongna Zhang

ORCID: 0000-0002-9410-928X
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About
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Research Areas
  • Cardiovascular Health and Disease Prevention
  • Metaheuristic Optimization Algorithms Research
  • Advanced Machining and Optimization Techniques
  • Advanced Battery Materials and Technologies
  • Aortic aneurysm repair treatments
  • Cancer Genomics and Diagnostics
  • Caching and Content Delivery
  • Machine Learning and ELM
  • Renal and related cancers
  • Advancements in Battery Materials
  • Advanced Battery Technologies Research
  • Advanced Photocatalysis Techniques
  • Ammonia Synthesis and Nitrogen Reduction
  • Renal cell carcinoma treatment

Inner Mongolia University for Nationalities
2019-2022

Aiming at the problems of low learning efficiency, slow convergence speed, and prediction accuracy traditional data-driven model applied to tool cutting force prediction, a method based on ant lion optimizer (ALO) extreme machine (ELM) is proposed. ALO was used improve weights input layer hidden ELM, so as its accuracy. The models were established by using ALO-ELM, BP (backpropagation) neural network, support vector machine, respectively. experimental results show that mean square error,...

10.1155/2022/1486205 article EN cc-by Computational Intelligence and Neuroscience 2022-09-26

10.1007/s11595-020-2228-2 article EN Journal of Wuhan University of Technology-Mater Sci Ed 2020-02-01

Objective: Thoracic and abdominal aortic aneurysm is a very difficult problem in the field of vascular surgery. According to discoveries basic medical recent years, hemodynamic changes are important factors affecting development aneurysms. Methods: Three-dimensional patients' CT images with thoracic aneurysms reconstructed by imaging modeling software MIMICS, using ANSYS ICEM CFD 14.5 divide model into unstructed grids, finally analysis hydrodynamics The fluid pathline blood flow...

10.1145/3340037.3340048 article EN 2019-01-01
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