基于人工智能的高职院校专业办学水平评估系统  

Realization System of Higher Vocational College's Specialty Education Level Assessment Based on Artificial Intelligence

作　　者：张新亮[1] 钟富平[1] 

机构地区：[1]重庆工业职业技术学院机械工程学院,重庆401120

出　　处：《计算机系统应用》2015年第2期75-81,共7页Computer Systems & Applications

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.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.

关 键 词：高职 人工智能 专业评估 模糊神经网络 专家系统 

分 类 号：G717[文化科学—职业技术教育学] TP18[文化科学—教育学]