Research and Analysis of Machine Learning Algorithm in Artificial Intelligence

Source:
By:Yang Li

DOI: https://doi.org/10.30564/aia.v2i2.1801

Abstract:

This article firstly explains the concepts of artificial intelligence and algorithm separately, then determines the research status of artificial in-telligence and machine learning in the background of the increasing pop-ularity of artificial intelligence, and finally briefly describes the machine learning algorithm in the field of artificial intelligence, as well as puts for-ward appropriate development prospects, in order to provide theoretical reference for industry insider

References:

[1]Xie Juanying, Liu Ran. Research progress of target detection algorithm based on deep learning[J]. Jour-nal of Shaanxi Normal University (Natural Science Edition), 2019(5):1-9. [2]Sun Shaojing, Chen Changfeng, Li Shigang. Devel-opment and Challenge of ‘Algorithm Recommen-dation and Artificial Intelligence’[J]. Journalism Bimonthly, 2019(6):40-47. [3]Tian Qichuan, Wang Manli. Research progress of deep learning algorithms[J]. Computer Engineering and Applications, 2019(22):25-33. [4]Chang Yingchun. Anomaly detection of game artifi-cial intelligence based on layered time series memory algorithm[D]. Journal of Hebei University of tech-nology, 2015. [5] Gan Jingzhong, Yang Xiulan, Lv Jie. Overview of Unsupervised Learning Algorithms in Artificial In-telligence[J]. Technology and Industry Across the Straits, 2019(1):134-135. [6]Klaus Mainzell. Artificial Intelligence and Machine Learning: Algorithm Basics and Philosophical Per-spectives[J]. Journal of Shanghai normal university (Philosophy and Social Sciences), 2018(3):13-24. [7] Zhou Jin. Deep learning algorithms on artificial intel-ligence[J]. Computer Programming Skills & Mainte-nance, 2019, (7):115-117. [8] Huang Fayang. Face Recognition Technology Based on Neural Network Deep Learning Algorithm[J]. In-telligent building, 2018(10):65-67.DOI: https://doi.org/10.30564/aia.v2i2.1801