Back to Search
Start Over
ELM Meets Urban Big Data Analysis: Case Studies.
- Source :
-
Computational Intelligence & Neuroscience . 8/29/2016, p1-10. 10p. - Publication Year :
- 2016
-
Abstract
- In the latest years, the rapid progress of urban computing has engendered big issues, which creates both opportunities and challenges. The heterogeneous and big volume of data and the big difference between physical and virtual worlds have resulted in lots of problems in quickly solving practical problems in urban computing. In this paper, we propose a general application framework of ELM for urban computing. We present several real case studies of the framework like smog-related health hazard prediction and optimal retain store placement. Experiments involving urban data in China show the efficiency, accuracy, and flexibility of our proposed framework. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16875265
- Database :
- Academic Search Index
- Journal :
- Computational Intelligence & Neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 117744267
- Full Text :
- https://doi.org/10.1155/2016/4970246