基于人工神经往落的研究生课程评价模型

A Course Evaluation Model of Graduate Student Based on ANN

在研究生网上课程评价系统收集的大量数据基础上，构建了一种于人工神经网落的多指针课程评价模型，并将往上调查的结果以连续接权的方式赋予该评价模型进行训练。通过实际评价数据的验证，该模型能够准确地按照实际评价的过程进行工作。

Through analyzing a lot of data collected by graduate course online survey system， and establishing a course evaluation system， the article proposes a multi-target synthetic evaluation model based on artificial neural network（ANN）. Then the trained ANN can endure course evaluation model with result of online survey in the way of joint weight. The course evaluation model is capable to simulate reality procedure by verifying the data of course survey.