learning, GBL, and neural network-assisted teaching evaluation. Similar to Chen et al. (2020b from large-scale educational data using ML and data mining. EDM’s effectiveness in learning
mining and text mining tools, such as neural networks, have been developed. Data mining and multiplayer perceptron may not be the most accurate neural network model, and that both the
, i.e. Artificial Neural Network, Case Based Reasoning; and the recent hybrid methods will iiiNetwork (BPN), and Piece-wise Linear Represent (PLR) will be used to judge the
) and Recurrent Neural Network (RNN) are some of the learning algorithm models used in DL are analyzed; (2) Understand and analyze the neural network method under DL; (3) Construct
analysis, data mining, grey theory and back propagation neural network. The concept of , Data Mining, Grey Theory, Back Propagation Neural Network ABSTRACT Taiwan, located along
. For this reason, we use anartificial neural network to analyze the results and use artificial neural network reduced from 4803 s to 68 s, and the mask patternis used to predict the
one of the desired w are shown as the black and the gray dotted lines, the optimization . ........................................................ 25 Table 3 The classifier modeling and optimization criteria for these two strategies
both SVM and PSO data mining techniques. recognition," Data mining and knowledge discovery , 1998, 2:121-167. [5] Cao Q., Leggio K., and
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