| 非线性视角下物联网社区时序预测研究 |
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| 引用本文： | 刘东,徐楚媚.非线性视角下物联网社区时序预测研究[J].广东技术师范学院学报,2013(12):73-77. |
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| 作者姓名： | 刘东 徐楚媚 |
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| 作者单位： | 广东外语外贸大学南国商学院信息科学技术系,广东广州510545 |
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| 基金项目： | 基金项目：2012年广东省大学生创新创业训练计划项目（1262012010） |
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| 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．
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| 关 键 词： | 人工神经网络 非线性物联网技术社区 时序数据 预测 |
Research of Community Prediction of Time Series of Network Nonlinear Perspective |
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| LIU Dong,XU Chu-mei.Research of Community Prediction of Time Series of Network Nonlinear Perspective[J].Journal of Guangdong Polytechnic Normal University,2013(12):73-77. |
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| Authors: | LIU Dong XU Chu-mei |
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| Institution: | (The Department of Information Science＆Technology Guangdong University of Foreign Studies South China Business College, Guangdong, Guangzhou 510545, China) |
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| 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 per- spective of nonlinearity IOT application of forecast technology community time-series data to optimize the predic- tion bottleneck neural network environment on the based. Through the simulation community data of artificial neu- ral network show that the practicality and efficiency of the algorithm. |
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| Keywords: | artificial neural network nonlinear time series data of Internet of things technology community prediction |
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