摘要
随着学位与研究生教育评估的发展 ,加强评估是保证其质量的重要措施。面对日益复杂的评估对象 ,有必要引入非线性的评估手段 ,这对于弱化评估过程中的人为因素 ,保证评估结果的准确性有重要意义。神经网络是近年来发展迅速 ,因其具有自学习、自适应、联想记忆、并行处理和非线形映射等特性而成为良好的非线性建模工具。在提出了基于神经网络的学位与研究生教育评估模型的基础上 。
With the development of the academic degrees and graduate education, evaluation is the important measure for guaranteeing the quality in the area. With increasing complication of the target of the evaluation of academic degrees and graduate education , it is necessary to introduce nonlinear method of the evaluation, which has great significance for the validity of the result of the evaluation. Neural networks have been developed greatly in recent years,they have the advantages of nonlinear mapping,parallelity ,adaption, etc. Therefore , they are good tools of nonlinear modeling. On the basis of setting up the model of the evaluation based on neural network ,this paper presets the practical value of the method.based them.
出处
《重庆大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2003年第5期118-120,共3页
Journal of Chongqing University
关键词
BP人工神经网络
学位与研究生教育
评估
BP artificial neural network
academic degrees and graduate education
evaluation