Principles and Applications of Common Artifi cial Intelligence Algorithms in the Financial Field
Abstract
This article summarizes common machine learning algorithms in the fi nancial fi eld, such as KNN, Kmeans, SVM, regression algorithms, etc., and explains their principles. It also elaborates on their common application scenarios in the fi nancial fi eld and advanced usage
techniques such as hyperparameter optimization, Stacking, Boosting, etc.
techniques such as hyperparameter optimization, Stacking, Boosting, etc.
Keywords
Finance, Machine learning; Algorithms; KNN; Kmeans; SVM; Regression algorithms; Hyper parameter optimization Stacking;
Boosting
Full Text:
PDFReferences
[1] Siddique, Nazmul, and H. Adeli. "Applications of Harmony Search Algorithms in Engineering." International Journal of Artificial Intelligence Tools 24.06(2015):1530002.
[2] Wang Hui and Ji Xiaoliang Analysis of Artificial Intelligence Classic Algorithms on Iris Dataset. "Microcomputer Information 000.018
(2021): 14-19, 21
[3] B, Rodolfo C. Cavalcante A, et al. "Computational Intelligence and Financial Markets: A Survey and Future Directions." Expert Systems
with Applications 55.C(2016):194-211.
DOI: http://dx.doi.org/10.70711/aitr.v2i5.5285
Refbacks
- There are currently no refbacks.
