Research Article
Fertilization Forecasting Algorithm Based on Improved BP Neural Network
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@INPROCEEDINGS{10.1007/978-3-319-73447-7_45, author={Tong Xue and Yong Liu}, title={Fertilization Forecasting Algorithm Based on Improved BP Neural Network}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Fertilization forecast BP neural network Nutrient balance method Weighted combination method}, doi={10.1007/978-3-319-73447-7_45} }- Tong Xue
Yong Liu
Year: 2018
Fertilization Forecasting Algorithm Based on Improved BP Neural Network
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_45
Abstract
In this paper, we consider a fertilization forecast algorithm based on improved BP neural network. By analyzing traditional single fertilization forecast algorithm, we find that they are too simple, lack of network training and cannot take into account the impact of different nutrients. Then, we consider an improved BP neural network algorithm, which is based on the Lagrangian multiplier method to optimize the BP neural network and nutrient balance method by weighted combination algorithm. The simulation results show that the improved method can accurately guide the amount of fertilizer, only a small amount of learning data.
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