Big Data Analysis and Prediction System Based on Improved Convolutional Neural Network

doi:10.1155/2022/4564247

	Big Data Analysis and Prediction System Based on Improved Convolutional Neural Network
	Du, Xuegong; Cao, Xiaojun; Zhang, Rui
	2022
发表期刊	Computational Intelligence and Neuroscience
卷号	2022
摘要	This paper presents a big data analysis and prediction system based on convolutional neural networks. Continuous template matching technology is used to analyze the distributed data structure of big data, and the information fusion processing of cloud service combination big data is combined with matching related detection methods, frequent item detection, and association rule feature extraction of high-dimensional fusion data. A clustering method is adopted to realize the classification and mining of cloud service portfolio big data. The hardware equipment of the car to detect the surrounding environment is complicated, and the combination of the convolutional neural network and the camera to detect the surrounding environment has become a research hotspot. However, simply using the convolutional neural network to process the camera data to control the turning angle of the car has the problems of long training time and low accuracy. An improved convolutional neural network is proposed. The experimental results show that the accuracy of data mining by this method is 12.43% and 21.76% higher than that of traditional methods, and the number of iteration steps is shorter, indicating that the timeliness of mining is higher. This network structure can effectively improve the training speed of the network and improve the accuracy of the network. It is proven that the convolutional neural network has faster training speed and higher accuracy. © 2022 Xuegong Du et al.
关键词	Convolution Distributed database systems Feature extraction Cameras Template matching Convolutional neural networks Data mining Iterative methods Cloud services Convolutional neural network Data analysis system Distributed data structures Matching technology Matchings Prediction systems Services combinations Surrounding environment Training speed
DOI	10.1155/2022/4564247
收录类别	EI ; SCIE
ISSN	1687-5265
语种	英语
WOS研究方向	Mathematical & Computational Biology ; Neurosciences & Neurology
WOS类目	Mathematical & Computational Biology ; Neurosciences
WOS记录号	WOS:000779486200005
出版者	Hindawi Limited
EI入藏号	20221311858665
EI主题词	Big data
EI分类号	716.1 Information Theory and Signal Processing ; 723 Computer Software, Data Handling and Applications ; 723.2 Data Processing and Image Processing ; 723.3 Database Systems ; 742.2 Photographic Equipment ; 921.6 Numerical Methods
原始文献类型	Journal article (JA)
EISSN	1687-5273
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/33201
专题	信息工程与人工智能学院
作者单位	College of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou; 730020, China
第一作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Du, Xuegong,Cao, Xiaojun,Zhang, Rui. Big Data Analysis and Prediction System Based on Improved Convolutional Neural Network[J]. Computational Intelligence and Neuroscience,2022,2022.
APA	Du, Xuegong,Cao, Xiaojun,&Zhang, Rui.(2022).Big Data Analysis and Prediction System Based on Improved Convolutional Neural Network.Computational Intelligence and Neuroscience,2022.
MLA	Du, Xuegong,et al."Big Data Analysis and Prediction System Based on Improved Convolutional Neural Network".Computational Intelligence and Neuroscience 2022(2022).