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<p class="MsoNormal" style="MARGIN: 0cm 0cm 0pt; TEXT-INDENT: 24pt; LINE-HEIGHT: 150%; mso-char-indent-count: 2.0;"><span style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-bidi-font-size: 12.0pt;">题目:</span><span style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-bidi-font-size: 12.0pt; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman';">沙尘暴与各项气象指标的关系分析</span><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; mso-bidi-font-size: 12.0pt;"><font face="Times New Roman"><span style="mso-spacerun: yes;"><br/><br/></span></font></span><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-bidi-font-size: 12.0pt;"><span style="mso-spacerun: yes;"><br/>
</span></span><span style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-bidi-font-size: 12.0pt;">关 键 词:</span><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; mso-bidi-font-size: 12.0pt;"><span style="mso-spacerun: yes;"><font face="Times New Roman"><br/>
</font></span></span><span style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman';">支持向量机</span><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%;"><font face="Times New Roman">;</font></span><span style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman';">核函数</span><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%;"><font face="Times New Roman">;</font></span><span style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman';">主成分分析</span><span lang="EN-US" style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%;"><font face="Times New Roman">;</font></span><span style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; FONT-FAMILY: 宋体; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman';">沙尘暴预测</span><span style="FONT-SIZE: 14pt; LINE-HEIGHT: 150%; mso-bidi-font-size: 12.0pt;"><font face="Times New Roman"><br/><br/>
<span lang="EN-US"><p></p></span></font></span></p><p></p><p></p><p></p><p></p><p class="MsoNormal" align="center" style="MARGIN: 0cm 0cm 0pt; LINE-HEIGHT: 150%; TEXT-ALIGN: center;"><span style="FONT-SIZE: 18pt; LINE-HEIGHT: 150%; FONT-FAMILY: 隶书; mso-bidi-font-size: 12.0pt; mso-hansi-font-family: 宋体;">摘要：<span lang="EN-US"><p></p></span></span></p><p></p><p></p><p></p><p></p><p class="MsoNormal" align="left" style="MARGIN: 0cm 0cm 0pt; TEXT-INDENT: 24pt; TEXT-ALIGN: left; mso-char-indent-count: 2.0; mso-layout-grid-align: none;"><font size="3"><span style="FONT-FAMILY: 宋体;">根据沙尘暴天气的特点和支持向量机<span lang="EN-US">(support vector machine, SVM)</span>方法在解决小样本学习问题中的优势，提出基于<span lang="EN-US">SVM</span>的沙尘暴预测模型<span lang="EN-US">.</span>首先利用主成分分析法进行数据预处理，然后选择了径向基核函数，并通过分析惩罚参数和核参数对<span lang="EN-US">SVM</span>分类器性能的影响，确定了参数的搜索空间，继而利用网格搜索法对其进行优化<span lang="EN-US">.</span>在此基础上，构建并实现了基于<span lang="EN-US">SVM</span>的沙尘暴预测模型<span lang="EN-US">.</span>从而</span><span style="FONT-FAMILY: 宋体; mso-ascii-font-family: 'Times New Roman'; mso-hansi-font-family: 'Times New Roman';">使人们可以根据相关气象数据的监测结果，估计出沙尘暴在某地区某段时间内发生的次数。运用此模型我们预测了在近期内观测站所在地发生沙尘暴的风险，并在高风险时发出警报信息。</span></font></p><p class="MsoNormal" align="left" style="MARGIN: 0cm 0cm 0pt; TEXT-INDENT: 24pt; TEXT-ALIGN: left; mso-char-indent-count: 2.0; mso-layout-grid-align: none;"><span style="FONT-FAMILY: 宋体;"><font size="3">该模型与<span lang="EN-US">BP</span>神经网络模型的运行结果对比表明，基于<span lang="EN-US">SVM</span>的沙尘暴预报模型稳定性好，运行速度快，预报准确率提高了<span lang="EN-US">71.2%.<p></p></span></font></span></p><p></p><p></p><p></p><p></p><br/>
[此贴子已经被作者于2008-4-16 23:37:09编辑过]
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