Multivariate Regression Analysis on Correlated Characters about Fresh Pod Yield of Fresh Edible Soybean

Objective] The alm was to survey 10 characters of 8 fresh edibIe soy-bean varieties, analyze maln Ioading factors using principal component analysis, and estabIish muItipIe regression equation on fresh pod yield. [Methods] Through princi-pal component analysis on 10 characters of 8 fresh edibIe soybean varieties, char-acters reIated to fresh pod yield of fresh edibIe soybean were cIarified. [Results] Af-ter the principal components analysis, pod weight per pIant, 100-seed weight and pod number per pIant of fresh edibIe soybean were chosen to study their reIation with the yield of fresh edibIe soybean, moreover, it was demonstrated that the reIa-tion was Iinear reIation, thus it was suitabIe for muItivariate regression analysis. Fi-nal y, the mathematical expression formuIa about fresh pod yield was estabIished. [Conclusions] There were three characters affecting fresh pod yield, nameIy, pod weight per pIant, 100-seed weight and pod number per pIant, the mathematical equation was y=816.732＋4.145X6-0.718X8-0.985X9 （X6： pod weight per pIant; X8： 100-seed weight; X9： pod number per pIant）.

毛竹林高产施肥技术探讨

通过对福建省邵武市龙湖采育场毛竹林进行随机区组设计连续４ａ的施肥试验，主要结果经数理统计分析，获得毛竹林土壤养分（水解Ｎ、速效Ｐ、速效Ｋ）对毛竹林总产值（毛竹＋竹笋）的多元回归方程，作为毛竹林丰产施肥的基本理论依据；在保证高产高效的条件下，求得回归方程的最优解，作为高产毛竹林土壤养分的标准状态，其它毛竹林经测定其土壤养分后与之相比，便知土壤养分缺乏的种类和程度，由此确定合理施肥方案，则可成本低、效益好、产量高。

基于支持向量机回归的光伏发电出力预测

建立总峰瓦值为30MW的光伏电站数学模型,并且基于保定地区气象资料以及美国国家航空和宇航局(NASA)提供的保定地区太阳辐射数据,模拟得到该光伏发电系统出力数据。分析光伏系统出力特性以及影响光伏出力因素。根据影响光伏出力的诸多因子的复杂性和非线性,决定预报因子与预报对象间的非线性关系,建立光伏系统出力的支持向量机(SVM)回归模型,并进行相应的预测。预测结果表明,支持向量机回归(SVR)方法为解决光伏系统出力的预测提供了一种可行路径。

白银市春季沙尘暴的初步研究

根据1961年～2000年历史资料对甘肃省白银市沙尘暴的发生规律、产生机理以及影响天气系统进行研究,应用多项式回归分析法对白银市的沙尘暴进行分析,结果表明白银市沙尘暴的产生与大风、气温距平有一定的相关性.

嵌入式软件系统测试综述

以嵌入式软件测试过程为主线,根据嵌入式软件的特点,着重介绍了软件系统测试的概念和特点、测试的工作流程、测试环境的搭建等相关内容,讨论了系统测试的内容和测试用例技术的设计工作。