A Comprehensive Review of Recent Advances on Intelligence Algorithms and Information Engineering Applications

被引:1
作者
Zeng, Yang [1 ,2 ]
Liao, Bolin [1 ]
Li, Zhan [3 ]
Hua, Cheng [1 ]
Li, Shuai [4 ,5 ]
机构
[1] Jishou Univ, Coll Comp Sci & Engn, Jishou 416000, Peoples R China
[2] Jishou Univ, Sch Commun & Elect Engn, Jishou 416000, Peoples R China
[3] Southwest Jiaotong Univ, Inst Smart City & Intelligent Transportat, Chengdu 610031, Peoples R China
[4] Univ Oulu, Fac Informat Technol & Elect Engn, Oulu 90570, Finland
[5] VTT Technol Res Ctr Finland, Oulu 90570, Finland
来源
IEEE ACCESS | 2024年 / 12卷
基金
中国国家自然科学基金;
关键词
Mathematical models; Neural networks; Biological neural networks; Convergence; Signal processing algorithms; Reviews; Linear systems; Artificial intelligence; Intelligent control; Optimization methods; neural networks; intelligent control; intelligent optimization; RECURRENT NEURAL-NETWORK; FINITE-TIME SOLUTION; NOISE-TOLERANCE; ZNN MODELS; MATRIX; CONVERGENCE; DESIGN; OPTIMIZATION; DYNAMICS; SYSTEM;
D O I
10.1109/ACCESS.2024.3461756
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The advent of artificial intelligence (AI) has catalyzed transformative changes across diverse domains, establishing itself as a disruptive technology. Traditional methods often fall short in solving intricate information engineering problems, whereas AI methods can offer superior efficiency, speed, and accuracy. This paper provides a comprehensive overview of the research and practical applications of artificial intelligence in addressing information engineering challenges over the past two decades. It focuses on four critical information engineering fields: intelligent control, pattern recognition and intelligent systems, intelligent signal processing and communication, and optimization algorithms. This paper covers the backgrounds, driving forces, technologies, and applications of these fields, as well as the applications of AI in these areas. We believe that this study will be a valuable resource for both novice and seasoned researchers interested in leveraging AI to tackle information engineering challenges, offering a comprehensive understanding of AI integration and its potential in these areas.
引用
收藏
页码:135886 / 135912
页数:27
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