| 摘 要: 伴随着我国科学技术的不断进步，我国已经步入了互联网信息时代。大数据作为互联网时代最为核心的 组成部分，具有比较广泛的应用价值。基于此，针对神经网络算法的应用缺陷，本文主要是对大数据和神经网络算法之 间的有机结合进行了设计，进而构建了一种安全高效的数据分析平台。神经网络算法具有广泛的理论基础，其中神经网 络结构模拟、网络通信模型、记忆模型、学习算法等都是比较重要的概念，这也就表明基于神经网络算法的大数据分析 具有良好的性能和应用前景。 |
| 关键词: 神经网络；算法；大数据；分析方法 |
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中图分类号: TP391.4
文献标识码: A
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| Research on the Big Data Analysis Method Based on Neural Network Algorithm |
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FANG Fang
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( Tianjin Land Resources and Housing, Career Academy, Tianjin 300270, China)
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| Abstract: With the continuous progress of science and technology,China has entered the era of Internet information.As the core component of the Internet era,big data has a wide application value.Based on this,aiming at the application defects of neural network algorithm,this paper mainly designs the organic combination of big data and neural network algorithm,and then constructs a secure and efficient data analysis platform.Neural network algorithm has a wide range of theoretical basis,in which neural network structure simulation,network communication model,memory model,learning algorithm are all important concepts,which shows that big data analysis based on neural network algorithm has good performance and application prospects. |
| Keywords: neural network;algorithm;big data;analysis method |
