Quantitative Evaluation on University Class Adviser's Workload Based on Neural Network
Analyses the characteristics of University class adviser's workload,setups a comprehensive indexes system for the quantitative evaluation on the workload of class adviser,presents a quantitative evaluation model based on neural network. Experimental results demonstrate the model is valid and practical. The model can actually reflect the relations between quantitative indexes and the class adviser's workload,and gives a theoretic guidance for quantitative evaluation of class adviser's workload.