Title
Model of Water Production Function with Genetic Programming
Abstract
A new model for analyzing the relation between production and water stress is proposed. A model of genetic programming is established to describe water production function with evolution calculation, which can find the optimal model structure by samples. Simulation and experimental results indicated that water production function based on genetic programming is good at searching optimal structure automatically, and intelligent, accurate.
Year
DOI
Venue
2008
10.1109/ICNC.2008.118
ICNC
Keywords
Field
DocType
evolution calculation,water stress,genetic programming,new model,search problems,irrigation,water production function,optimal structure searching,optimal model structure,genetic algorithms,optimal structure,water production,agriculture,mathematical model,accuracy,fitting,production
Mathematical optimization,Computer science,Water stress,Genetic programming,Artificial intelligence,Genetic algorithm,Machine learning
Conference
Volume
ISBN
Citations 
6
978-0-7695-3304-9
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Xiao-nan Chen112.10
Hai-tao Chen201.01
Lin Qiu300.34
Chun-qing Duan401.35