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In recent years, more and more teachers and learners have used e-learning system as the site to teach and study. Therefore, how to improve the efficiency in e-learning system has become a very important topic. This research combines Hopfield-Tank neural network and fuzzy ranking theories to analyze the learning efficiency and the useful nodes in learning path. After that, the researcher can improve...
This paper introduces a method of learning kernel by fuzzy equivalence relation (FER) based on prior knowledge. Firstly, prior knowledge is represented through fuzzy membership functions and fuzzy inference rules. Consequently features of prior knowledge are obtained by proper inference methods. Secondly, the learning rules of FER-kernel are obtained in terms of FER semantic interpretation and fuzzy...
Modeling and recognition of human behavior patterns for proactive service system are known to be difficult. For this purpose, an agglomerative clustering-based fuzzy-state Q-learning algorithm is suggested. In the first step of the proposed method, a meaningful structure of data is discovered by using Agglomerative Iterative Bayesian Fuzzy Clustering (AIBFC). Next in the second step, the sequence...
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