农业结构优化模型

Wang De-ji, Xu Bo, Li Guangcai, Chen Guoqun
{"title":"农业结构优化模型","authors":"Wang De-ji, Xu Bo, Li Guangcai, Chen Guoqun","doi":"10.1109/CCDC.2009.5192562","DOIUrl":null,"url":null,"abstract":"Optimal Model of Agricultural Structures is important in solving the “san nong” problem. In this paper, we introduce the yield function and price function of the product, which are regressed from the samples by SVM, into the genetic algorithm as the fitness function. This is a novel method for solving the Optimal Model of the Agricultural Structures. At last we put the method into Optimal Model Agricultural Structures for Hefei city and get the ideal result.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"119 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Model of Agricultural Structure\",\"authors\":\"Wang De-ji, Xu Bo, Li Guangcai, Chen Guoqun\",\"doi\":\"10.1109/CCDC.2009.5192562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimal Model of Agricultural Structures is important in solving the “san nong” problem. In this paper, we introduce the yield function and price function of the product, which are regressed from the samples by SVM, into the genetic algorithm as the fitness function. This is a novel method for solving the Optimal Model of the Agricultural Structures. At last we put the method into Optimal Model Agricultural Structures for Hefei city and get the ideal result.\",\"PeriodicalId\":127110,\"journal\":{\"name\":\"2009 Chinese Control and Decision Conference\",\"volume\":\"119 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Chinese Control and Decision Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2009.5192562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2009.5192562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

农业结构优化模型是解决“三农”问题的重要方法。本文将支持向量机从样本中回归的产品的产量函数和价格函数作为适应度函数引入遗传算法中。这是一种求解农业结构优化模型的新方法。最后将该方法应用到合肥市农业结构优化模型中,得到了理想的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Optimal Model of Agricultural Structure
Optimal Model of Agricultural Structures is important in solving the “san nong” problem. In this paper, we introduce the yield function and price function of the product, which are regressed from the samples by SVM, into the genetic algorithm as the fitness function. This is a novel method for solving the Optimal Model of the Agricultural Structures. At last we put the method into Optimal Model Agricultural Structures for Hefei city and get the ideal result.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Observer-based H∞ control for discrete-time T-S fuzzy systems Soft sensor for distillation column feeds Design of temperature measure system for variable sensitive temperature range Wavelet neural network based fault diagnosis of asynchronous motor Analysis of the divert ability of atmospheric interceptors controlled by lateral jet thrusters
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1