A Study of Teachers Evaluation Model Based on Combination Neural Network
Tang Wan-mei · Chongqing Shifan Daxue xuebao. Ziran kexue ban · 2008
In this paper,teachers evaluation model based on the combination of neural network is presented.This model may make up for the past model based on neural networks inadequate.And this model not only gives the teacher's score or category,but also gives teacher's score in every aspect.Then several feedforward neural networks are assembled into an ensembled neural network.Each of these feedforward neural networks is same in structure and trained by using the BP learning algorithm.The combination neural network has been compared with the conventional BP neural network on their performance.The results of experiments indicate: the relative error is smaller,so the model is validated.