Research on the Algorithm Optimization of Computer Artificial Intelligence
Abstract
To enhance the efficiency and reliability of computer artificial intelligence algorithms, this study explores key technologies and
strategies for algorithm optimization. It is analyzed that employing techniques such as regularization, model compression, interpretability enhancement, and data augmentation can effectively address the challenges faced by algorithms, thereby promoting their widespread application
in complex scenarios.
strategies for algorithm optimization. It is analyzed that employing techniques such as regularization, model compression, interpretability enhancement, and data augmentation can effectively address the challenges faced by algorithms, thereby promoting their widespread application
in complex scenarios.
Keywords
Algorithm Optimization; Computational Efficiency; Model Generalization
Full Text:
PDFReferences
[1] Swarnkar A, Swarnkar A. Artificial intelligence based optimization techniques: A review[J]. Intelligent Computing Techniques for Smart
Energy Systems: Proceedings of ICTSES 2018, 2019: 95-103.
[2] Zhang W, Zhang Z, Zeadally S, et al. MASM: A multiple-algorithm service model for energy-delay optimization in edge artificial
intelligence[J]. IEEE Transactions on Industrial Informatics, 2019, 15(7): 4216-4224.
[3] Arora J S, Baenziger G. Uses of artificial intelligence in design optimization[J]. Computer Methods in Applied Mechanics and Engineering, 1986, 54(3): 303-323.
[4] Xu Y, Liu X, Cao X, et al. Artificial intelligence: A powerful paradigm for scientific research[J]. The Innovation, 2021, 2(4).
DOI: http://dx.doi.org/10.70711/aitr.v2i4.4873
Refbacks
- There are currently no refbacks.
