基于RBF神经网络的高校奖学金等级预测模型

摘要

基于目前高校奖学金评定的现状，首先建立了高校奖学金评定指标体系，并对RBF神经网络的算法进行了分析，而后通过MATLAB7．0，使用训练样本数据创建了Approximate型的RBF神经网络模型。对测试样本数据的仿真结果表明，此模型作为奖学金评定的依据，具有较高的参考价值和实用性。%According to the evaluating situation of university scholarship at present, the paper builds the evaluating index system of university scholarship at first, and analyses the algorithm of RBF neural network, then builds the model of Approximate RBF neural network with training sample data by MATLAB7.0. The simulation results with testing sample data show that the model has higher reference value and practicability.