基于人工神经网络的京津冀区域智能服务匹配系统框架设计

随着京津冀协同发展规划的逐步深化,京津冀三地在整体规划中战略地位愈发突出,服务职能愈发清晰。面对京津冀协同发展中新兴的服务内容,将人工智能神经网络理论应用于区域智能服务内容中,通过收集和分析企业数据,建立动态神经网络,生成行业动态和发展预测数据,从而形成协调京津冀三省市的整体服务匹配系统。随着大数据技术和机器学习算法的成熟,基于人工神经网络的京津冀区域智能服务匹配系统框架设计逐步实现,为京津冀区域政府和企业的协调发展奠定基础。

With the gradual progress of Beijing-Tianjin-Hebei coordinated development planning,the strategic position of Beijing-Tianjin-Hebei in the overall planning has become more prominent and the service functions have become clearer.Faced with the service content of the new and emerging service in the coordinated development of Beijing-Tianjin-Hebei,the theory of artificial intelligence neural network is applied to the regional intelligent service content,which using collecting and analyzing enterprise data,establishing dynamic neural network,generating industry dynamic and developing forecast datas,so as to form an integrated service matching system to coordinate the three provinces and cities in Beijing-Tianjin-Hebei.With the maturity of big data technology and machine learning algorithm,the framework design of Beijing Tianjin Hebei regional intelligent service matching system based on artificial neural network is gradually realized,which lays the foundation for the coordinated development of Beijing Tianjin Hebei regional government and enterprises.