Paper Info
Title
Qualitative Configuration Based On Generality Data In Ranch In Three-River Headwaters Region
Abstract
Three-River Headwaters Region is the complex ecosystem with typical characteristics of alpine grass land. Livestock husbandry is the main industry of yak husbandry. In recent years, with the continuous advance of industry 4.0, the data in the alpine animal husbandry has the problems of low standardization and low clustering. It can not be applied to the rapid development of pasture intelligence. Therefore, it is necessary to establish qualitative configuration model for the generality data of alpine grassland. In this study, it builds the relevant model and data model framework bases on the main characteristics of grass production and yak habit. The model is solved by the linear regression algorithm and the genetic algorithm(GA). The experimental results offer reliable reference value for the research of related science. It also settles the corresponding technical support for the rapid development of intelligent animal husbandry.
Year
Venue
Keywords
2017
2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD)
Three-River Headwaters, Generality Qualitative-Configuration, Genetic Algorithm
Field
DocType
Citations 
Data modeling,Animal husbandry,Environmental resource management,Computer science,Livestock,Artificial intelligence,Technical support,Cluster analysis,Standardization,Data model,Machine learning,Generality
Conference
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Chengshui Niu101.35
Meiyun Du202.37
Yong Ge3120574.10
Yu-an Zhang4238.97
Rende Song501.35
Xiaofeng Qin623.49