ZhongZTangYWZhongSC, et al.
Research on the construction of education knowledge map model supported by artificial intelligence.Audio Visual Educ Res2020;
41: 62–70.
2.
ZhaoSRenWJ.The construction of exploratory learning system model in intelligent library. Jin Tu J2019;
33: 15–20.
3.
HanKWuDWLaiL.Grid cell construction model based on differential hebbian learning in brain like navigation. Syst Eng Electron Technol2020;
42: 674–679.
4.
DiaoHJMaL.Building an autonomous learning model based on the improvement of digital learning ability in the workplace. J Jiamusi Vocat Coll2020;
36: 77–78.
5.
TianFLiXLiuF, et al.
The construction of learner model for personalized recommendation system of learning resources. Educ Teach Forum2020;
10: 304–305.
6.
WangFLiYXZhouAM, et al.
An estimation of distribution algorithm for Mixed-Variable newsvendor problems. IEEE Trans Evol Comput2020;
24: 479–493.
7.
LiuDFangF.Teaching reform of digital image processing course in the view of artificial intelligence. Fujian Comput2020;
36: 23–26.
8.
FengCYChenXY.The role of artificial intelligence in teaching reform and rational examination. J Suzhou Univ (Education Science Edition2020;
1: 25–32.
9.
XueWZZhangCMYuD.Research on the development of vocational education in the age of artificial intelligence. Educ Vocation2020;
2: 39–43.
10.
KaoYTLinYSChuCP.A multi-factor fuzzy inference and concept map approach for developing diagnostic and adaptive remedial learning systems. Procedia Soc Behav Sci2012;
64: 65–74.
11.
WangFLiYXLiaoFS, et al.
An ensemble learning based prediction strategy for dynamic multi-objective optimization. Appl Soft Comput2020;
96: 106592.
12.
TaoXMDuanYPXuM.Research on the teaching reform of “wireless multimedia communication” under the artificial intelligence environment.Educ Indust Inf Technol2020;
31: 5–8.
13.
HanC.Research on the education strategy of college students’ employment concept in the era of artificial intelligence. Forum Ind Sci Technol2020;
19: 177–178.
14.
XieYChenYX.Deepening the education reform of primary and secondary school students to meet the challenge of artificial intelligence era. Sci Public2020;
1: 16–17.
15.
LiMMChengXLuoJ.The change and invariability of higher education in the age of artificial intelligence. Heilongjiang Higher Educ Res2020;
38: 41–44.
16.
HuangCL.The application of artificial intelligence and cloud computing in the teaching of intelligent agriculture. Sci Educ Collect2020;
2: 71–72.
17.
RenTXiaoHLZhouZB, et al.
The iterative scheme and the convergence analysis of unique solution for a singular fractional differential equation from the eco-economic complex system’s co-evolution process. Complexity2019;
2019: 1–15.
18.
KangRLinYWangY, et al.
A pedagogical case on active learning regarding to Kirchhoff's circuit laws. Int J Elect Eng Educ2019;
56: 179–190.
19.
XiangSXingLNWangL, et al.
Comprehensive learning Pigeon-Inspired optimization with tabu list, science China. Inf Sci2019;
62: 070208.
20.
ZhangJWWangLXingLN.Large-scale medical examination scheduling technology based on intelligent optimization. J Comb Optim2019;
37: 385–404.
21.
YiJHXingLNWangGG, et al.
Behavior of crossover operators in NSGA-III for large-scale optimization problems. Inf Sci2019. DOI: 10.1016/j.ins.2018.10.005.
22.
GongWYWangYCaiZH, et al. Finding multiple roots of nonlinear equation systems via a repulsion-based adaptive differential evolution. IEEE Trans Syst Man Cybern Syst2018. DOI: 10.1109/TSMC.2018.282801.
23.
GongWYCaiZH.Parameter extraction of solar cell models using repaired adaptive differential evolution. Sol Energy2013;
94: 209–220.
24.
YanXSYangKWHuCY, et al.
Pollution source positioning in a water supply network based on expensive optimization. DWT2018;
110: 308–318.
25.
YuPFYanXS.Stock price prediction based on deep neural network. Neural Comput Appl2019;
32: 1609–1628.
26.
ChandrasekaranGPeriyasamySRajamanickamKP.Minimization of test time in system on chip using artificial intelligence-based test scheduling techniques. Neural Comput Appl2020;
32: 5303–5312.
27.
ChandrasekaranGPeriyasamySKarthikeyanPR.Test scheduling for system on chip using modified firefly and modified ABC algorithms. SN Appl Sci2019;
1: 1079.
