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Received:June 10, 2014 Revised:June 30, 2014
Received:June 10, 2014 Revised:June 30, 2014
中文摘要: 以重庆工职院机械学院的国家示范建设重点专业“数控技术”为研究目标, 给出了一个完善的校内自我评估模式, 建立了相关的指标体系和质量标准. 运用模糊神经网络的原理和方法, 建立了基于FNN-ES的综合评价模型和基于VC++的评估软件具体实现, 给出了使用人工评估的结果对智能模型进行训练和使用的详细过程. 利用matlab验证和改善该FNN算法的性能, 训练成熟的软件可用于校内成熟专业的评估,并进而推广到其它院校, 理论和实践的结果表明, FNN-ES用于专业评估能克服各种人为因素, 使评估结果更科学、稳定和合理, 能为省级和国家级层面上的校外评估提供导向和基础数据.
Abstract:Taking the state demonstration construct key specialty "numerical control technique" of Chongqing Industry Polytechnic College as research target, this paper proposes a perfect model of self evaluation on campus. We also establish related index system and quality standards. By using the principle and method of fuzzy neural network, this paper establishes a comprehensive evaluation model based on FNN-ES, and gives a concrete Implementation of evaluation software based on VC++. This paper also presents a detailed process of employing manual evaluation's results on intelligent model's training and using. It uses matlab to validate and improve the performance of the FNN algorithm. The mature-trained intelligent system can be used for specialty assessment of mature specialty. Then it was spreaded to other colleges. The results of theory and practice researching show that FNN-ES for specialty assessment can overcome various human factors. It makes the assessment result more scientific, stable and reasonable. This system can provide guidance and basic data for off-campus specilty evalution of provincial and national level.
keywords: higher vacational artificial intelligence specialty assessment fuzzy neural network expert system
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张新亮,钟富平.基于人工智能的高职院校专业办学水平评估系统.计算机系统应用,2015,24(2):75-81
ZHANG Xin-Liang,ZHONG FU-Ping.Realization System of Higher Vocational College's Specialty Education Level Assessment Based on Artificial Intelligence.COMPUTER SYSTEMS APPLICATIONS,2015,24(2):75-81
张新亮,钟富平.基于人工智能的高职院校专业办学水平评估系统.计算机系统应用,2015,24(2):75-81
ZHANG Xin-Liang,ZHONG FU-Ping.Realization System of Higher Vocational College's Specialty Education Level Assessment Based on Artificial Intelligence.COMPUTER SYSTEMS APPLICATIONS,2015,24(2):75-81