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A Nephogram Recognition Algorithm Based on Cloud Computing Platform
- Source :
- iThings/GreenCom/CPSCom/SmartData
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- Using image processing technology, a k-means algorithm based selective neural network ensemble method and Hadoop processing technology, combine cloud platform with BP neural network algorithm, K-means algorithm and AdaBoost algorithm, to study cloud shape recognition technology based on cloud computing platform. The research results show that the recognition precision of image recognition technology of cloud computing platform is higher than that of cloud shape recognition technology based on traditional BP AdaBoost ensemble algorithm and single operation image recognition technology based on a k-means algorithm based selective neural network ensemble method.
- Subjects :
- Artificial neural network
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image processing
Cloud computing
computer.software_genre
Adaboost algorithm
ComputingMethodologies_PATTERNRECOGNITION
Computer Science::Computer Vision and Pattern Recognition
AdaBoost
Data mining
Recognition algorithm
business
Cluster analysis
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
- Accession number :
- edsair.doi...........172e5ceac5a89826ca1a0f76f06851be
- Full Text :
- https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00099