Forecasting the Total Power of China’s Agricultural Machinery Based on BP Neural Network Combined Forecast Method
- DOI
- 10.1007/978-3-642-36124-1_11
- Published
- 2013
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Berlin Heidelberg
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-642-36124-1_11,
title = {Forecasting the Total Power of China’s Agricultural Machinery Based on BP Neural Network Combined Forecast Method},
author = {Jinyan Ju and Lin Zhao and Jinfeng Wang},
year = {2013},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-642-36124-1_11},
url = {https://doi.org/10.1007/978-3-642-36124-1_11}
}RIS
TY - JOUR TI - Forecasting the Total Power of China’s Agricultural Machinery Based on BP Neural Network Combined Forecast Method AU - Jinyan Ju AU - Lin Zhao AU - Jinfeng Wang PY - 2013 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-642-36124-1_11 UR - https://doi.org/10.1007/978-3-642-36124-1_11 ER -
APA
Ju, J., Zhao, L., & Wang, J. (2013). Forecasting the Total Power of China’s Agricultural Machinery Based on BP Neural Network Combined Forecast Method. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-642-36124-1_11
Source records
- crossref · retrieved 2026-09-26T11:40:43.060Z