人工神经网络非线性背景下物联网技术社区时序预测的应用研究

Research on communities timing prediction applied in Artificial neural network nonlinear context of networking technology

社区时序数据建模是世界各国的学者研究的新型热点课题,人工神经网络环境下复杂非线性物联网技术社区时序数据系统得到了海量实践的应用。本课题对非线性物联网技术社区时序数据预测神经网络中存在的几个瓶颈进行分析探讨,基于提出人工神经网络非线性视角下物联网技术社区时序数据预测中的应用研究来优化预测神经网络环境下中的瓶颈。因此,通过人工神经网络社区数据的仿真实验表明该算法的高效性和实用性。

Community Timing data modeling is the world＇s scholars of the new hot topic, artificial neural network environment, community networking technology complex nonlinear time - series data system has been massive practical application. This topic IOT technology community for nonlinear time series data prediction neural network bottlenecks that exist in several analyzes discussed proposed based on artificial neural network nonlinear perspective of networking technology communities timing data prediction studies to optimize the predictive neural network environment under the bottleneck. Thus, by artificial neural network simulation community data show that the algorithm is efficient and practical. Key WOrds： artificial neural network; networking technology community timing data; forecasts