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基于混沌算法神经网络的高校师资预测
引用本文:刘恒玲,李克平. 基于混沌算法神经网络的高校师资预测[J]. 淮北煤炭师范学院学报(自然科学版), 2003, 24(2): 39-42
作者姓名:刘恒玲  李克平
作者单位:1. 北京师范大学物理系,北京,100875;淮北煤炭师范学院附中,安徽,淮北,235000
2. 淮北煤炭师范学院物理系,安徽,淮北,235000
摘    要:本文提出一种基于混沌算法神经网络的师资预测模型,该算法通过在前馈式神经网络连接权空间学习算法的动力学方程中引进一非线性自反馈项,使得网络具有良好的函数近似能力,应用这种算法的神经网络对我国高等院校的师资需求进行预测,为我国有关高等院校的教育决策提供依据.

关 键 词:神经网络  混沌学习算法  师资预测
文章编号:1000-2227(2003)02-0039-04
修稿时间:2002-10-22

The Teachers Prediction of Higher Institutions Based on Chaotic Neural Network
LIUHeng-ling,,LIKe-ping. The Teachers Prediction of Higher Institutions Based on Chaotic Neural Network[J]. Journal of Huaibei Coal Industry Teachers College(Natural Science edition), 2003, 24(2): 39-42
Authors:LIUHeng-ling    LIKe-ping
Affiliation:LIUHeng-ling1,2,LIKe-ping3
Abstract:In this paper,we propose a teachers prediction model based on chaotic neural network.For a prediction model with chaotic algorithm,the network system can approximate any function by introducing a nonlinear feedback term into the dynamics equation of learning algorithm in weight space.we use this kind of neur al network to predict teachers of our higher institutions,and provide the eviden ces of education decision-making for our higher institutions.
Keywords:neural network  chaotic learning algorithm  teachers prediction
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