欢迎来到天天文库
浏览记录
ID:877037
大小:2.52 MB
页数:0页
时间:2017-09-22
《某地市玉米总产量预报模型毕业论文》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、本科毕业论文题目:日照玉米总产量预报模型目录摘要·································································ⅡABSTRACT····························································Ⅲ1前言1.1研究的目的和意义·····················································11.2国内外研究现状·······························
2、························21.3研究内容·····························································32资料来源及处理方法2.1资料来源·····························································42.2处理方法····························································43玉米产量预测的灰色模型3.1GM(1,1)模型的建模
3、原理·············································73.2GM(1,1)模型的建模过程及求解·······································73.3结果与分析···························································84玉米产量回归分析预报模型4.1日照地区状况及玉米生理特征··········································114.2模型假设及符号说明·······
4、···········································124.3玉米产量回归分析预报模型············································134.4日照玉米产量分析及预报··············································134.5日照玉米单产的滑动平均预报方法······································144.6玉米产量的预测································
5、······················215结论·································································24谢辞··································································25参考文献······························································26摘要本文采用山东省气象局、山东省日照市气象局,山东省日照市农业局等不同地
6、区(其中在三个试验点)进行的实验数据,其中包括1971—2008年的玉米产量,种植面积资料以及同期的气象资料等。通过滑动平均法对单产量进行处理,利用灰色模型对单产量进行简单的处理预测,分离趋势产量与气象产量,用多项式法对趋势产量进行模拟和分析。同时利用SPSS软件的相关性分析,回归分析等功能对数据进行处理,找出相关性因子,并得到回归方程,进而模拟气象产量,得到玉米产量与气象因子之间的关系,最后预测实际的玉米产量。分析结果表明:日照市的玉米气象产量主要同播种期,成熟期等重要时期的相对湿度,日照,降水量和其他一些气象因子有关。在分析模
7、拟的基础上,建立日照单产量模拟预测的计算机模型,初步开发了日照玉米产量的预报系统。关键词:玉米;回归分析;气象产量;趋势产量;灰色模型PredictionModelsofMaizeYieldinRizhaoABSTRACTBytheexperimentaldatacomefromMeteorologicalBureauofShandongProvince,RizhaoCityMeteorologicalBureau,RizhaoCityAgricultureBureauotherregionsofRizhao,includingc
8、ornproductionin1971-2008,cultivationareasandmeteorologicaldataandinformationinthesameperiod,Agraymodelisestablishedthroughth
此文档下载收益归作者所有