【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.更多还原

【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.更多还原