【摘要】 物联网技术社区时序数据建模是世界各国学者研究的新型热点课题,本研究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,提出基于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的瓶颈,并且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.更多还原

【Abstract】 The development of internet of things technology community time-series data modeling is a new hot topic of scholars all over the world. The subject of the nonlinear network technology community time-series data prediction several bottlenecks exist in neural network analysis, artificial neural network is presented from the perspective of nonlinearity IOT application of forecast technology community time-series data to optimize the prediction bottleneck neural network environment on the based. Through the simulation community data of artificial neural network show that the practicality and efficiency of the algorithm.更多还原