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随着全球经济状况的不断变化及我国经济结构的战略性调整,各地劳动力就业市场也从原来的求职难到现在的用工荒不断发生着变化。提出一种基于BP神经网络的就业预测模型,将反应劳动就业情况的一些参数通过神经网络的BP算法,主要针对苏州市吴中区企业用工状况做一个科学合理的分析和预测,也可为当地劳动部门、企业、中介、求职者提供一个切实可行的参考模型。
With the continuous changes in the global economic situation and the strategic adjustment of China’s economic structure, the labor market in various places has continuously changed from the original job search difficulties to the present labor shortage. This paper proposes an employment forecasting model based on BP neural network. Through BP algorithm of neural network, some parameters that reflect employment situation are mainly analyzed and forecast according to the employment status of enterprises in Wuzhong District, Suzhou City. Labor departments, enterprises, agencies, job seekers to provide a viable reference model.