Manufacturing Multi-value Chain Product Demand Forecasting Based on KPCA-PSO-SVM : -Taking the Demand of the Ring Network Cabinet as an Example
Author:
Affiliation:
1. North China Electric Power University,Beijing,China,102206
2. Qingchang Electric POWER Equipment Co, Ltd
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9754526/9754527/09754531.pdf?arnumber=9754531
Reference18 articles.
1. Application of machine learning techniques for supply chain demand forecasting
2. A hybrid wavelet analysis and support vector machines in forecasting development of manufacturing
3. Combined photovoltaic power prediction model based on gwo-svm and random forest;wang;Journal of Kunming University of Technology,0
4. An intelligent SVM modeling process for crude oil properties prediction based on a hybrid GA-PSO method
5. Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM
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