Currently, the development of sharing economy and interconnection also has a profound impact on community life services. This study is based on the deep neural network theory, combined with the evolution mechanism of the commercial network of the community life service industry, link prediction theory, and the latest deep neural network algorithm, referring to the evolution model of merger and stripping, and the network structure is optimized on this basis. Through simulation experiments and result analysis, the model is used to deeply study the evolution trend and dynamics of the community life service business network from the perspective of quantitative analysis. Then the business network structure is optimized and development is promoted at the same time. At the same time, it can also upgrade those old scattered industries and provide theoretical and decision-making guidance for the future transformation and upgrading of the innovative community life service industry.

中文翻译：

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基于深度神经网络的共享经济社区生活服务构建

当前，共享经济、互联互通的发展也对社区生活服务产生深刻影响。本研究以深度神经网络理论为基础，结合社区生活服务业商业网络的演化机制、链路预测理论以及最新的深度神经网络算法，参考兼并剥离的演化模型，在此基础上对网络结构进行了优化。通过仿真实验和结果分析，利用该模型从定量分析的角度深入研究社区生活服务业务网络的演化趋势和动态。从而优化业务网络结构，同时促进发展。同时，