神经网络模型对城市人才资源总量的预测

Neural Networks Model in tne Prediction of the City Talent Resources Gross

定性分析了影响城市人才资源总量的各因素,运用计量经济学方法筛选出影响人才资源总量变化的主要因素,在此基础上确定神经网络模型的输入输出变量,对城市人才资源总量进行预测。

The paper makes a choice of neural networks input-output variants, predicts the total city talent resources and analyzes the limitation of econometrics model computation in the talent resources gross prediction by use of it.