【摘要】 网络环境下的学习需要有与之相适应的学习评价方式,为改进现有网络学习评价的不足,构建了基于BP神经网络的网络学习评价模型,并设计基于Hadoop的BP神经网络并行算法,解决网络学习评价中的大数据集分析和处理问题,实验证明,提出的方法拥有较快的收敛速度和较高的精度,在大数据集处理上具有较好的加速比和良好的可扩展性。更多还原

【Abstract】 To improve the existing shortcomings of e-learning evaluation,is designed a e-learning evaluation model is proposed based on BP neural network,and the parallel algorithm of BP neural network is designed based on Hadoop.Experiment results demonstrate that the proposed method has fast convergence speed and high precision,it also has better acceleration and good scalability on the large data set processing.更多还原