Academic Journal of Computing & Information Science, 2022, 5(3); doi: 10.25236/AJCIS.2022.050306.
Ruiyao Yang
Statistical and Mathematics Institute, Xiamen University of Technology, Xiamen, Fujian, 361024, China
A neural network trading strategy optimized based on Apriori and the genetic algorithm is proposed to determine the trading strategies. Using the Apriori algorithm and the Neural Network optimized based on the Genetic Algorithm, we find all the frequent term sets of the fuzzy set and mine the fuzzy association rules from the frequent term set. Enter the price dataset, set minimum support and multiplier; output fuzzy association rule library, and iterate.
Fuzzy, Apriori Algorithm, Genetic Algorithm, Neural Network
Ruiyao Yang. Trading Strategies Model Using the Apriori Algorithm and the Neural Network Optimized by the Genetic Algorithm. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 3: 41-44. https://doi.org/10.25236/AJCIS.2022.050306.
[1] TROW M., Problems in the Transition from Elite to Mass Higher Education [R]. Berkeley, CA: Carnegie Commission on Higher Education, 1973: 57.
[2] Guan Peijun, The mission of China's higher education in the new era [J]. China's higher education research, 2017(12): 17-19.
[3] THE., Teaching Excellence Framework (TEF) Results in 2017 [EB/OL]. https://www. timeshighereducation. com/news/teachingexcellence-framework -tef -results-2017.
[4] Wang Zhongkui, Hu Xiaotian, The way to realize the performance evaluation of undergraduate teaching quality: the experience and Enlightenment of Britain [J]. Research on education development, 2018, 38(17): 71-77+84.
[5] Wang bangquan, Research on quality evaluation of transnational higher education development in Australia [J]. Educational exploration, 2017(04): 115-120.
[6] Zhang Jing, Liao Xiangyang, Establishing a quality evaluation and monitoring system of higher education development guided by student development [J]. China's higher education, 2014 (01): 32-34+40.
[7] Zhang Nanxing, Wang Shu, Sun Jihong, Evaluation of comprehensive development level of higher education in China and Research on regional differences [J]. Education Research, 2014, 35 (05): 28-36.
[8] Wang Ning, Research on the quality evaluation index system of China's general higher education development [J]. Educational modernization, 2017, 4(18): 62-67.
[9] Ma Xing, Wang Nan, Construction of university teaching quality evaluation system based on big data [J]. Tsinghua university education research, 2018, 39(02): 38-43.