원문정보
초록
영어
The water production function model of rice based on RAGA-BP neural network model is established by taking the advantages of RAGA-BP neural network model (high ability in solving nonlinear problem, high rate of convergence, etc.). Compared with traditional Jensen model, this method is featured by high flexibility and intelligence, avoiding the inconvenience caused by pre-establishing mathematical expression. Compared with classical BP neural network model, this method can overcome the problem in local minimum value and low rate of convergence. The deficient irrigation experiment of rice in 2015 shows that RAGA-BP neural network model has high adaptability during the process of fitting for solution of water production function of rice; the accuracy and speed are high, which provides new effective method for calculation of water production function of rice.
목차
1. Introduction
2. RAGA-BP Neural Network Model
2. Water Production Function Model of Rice Based on RAGA-BPNeural Network Model
3. Application Examples
3.1. Materials and Method
3.3. Comparison for water Production Function Modeling of Rice Based on RAGA-BPNeural Network Model
3.4. Result Analysis
4. Conclusion
Acknowledgment
References