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URN etd-0216108-102745 Statistics This thesis had been viewed 3077 times. Download 1508 times. Author Chih-Chen Chang Author's Email Address No Public. Department Computer Science and Enginerring Year 2007 Semester 1 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 70 Title An Evaluation of Intelligent Systems Applied on Grading Mandarin Articles in Elementary School Keyword Grading Articles in Elementary Schools Artificial Neural Network Intelligent Systems Intelligent Systems Artificial Neural Network Articles in Elementary Schools Grading Abstract The design of teaching materials, under the construction of one outline and multiple textbook edition, has diversified the teaching materials since the implementation of educational reform. The design of various levels of contents generates a gap between academic years and textbook versions. This research, conducted by way of artificial neural network, aims at evaluating the amount and level of words of Chinese essays in elementary schools. The articles chosen from each grade are used to train a neural network that can classify the essays to the proper academic years. The proposed model can be applied to modify and analyze articles, and display its results immediately. The users can use the outcome of this research for reference when they plan to write articles for primary schools in the future. Advisor Committee Yo-Ping Huang - advisor
Shang-Lin Hsieh - co-chair
Shun-Feng Su - co-chair
Files Date of Defense 2008-01-25 Date of Submission 2008-02-18