{"currentpage":1,"firstResult":0,"maxresult":10,"pagecode":5,"pageindex":{"endPagecode":5,"startPagecode":1},"records":[{"abstractinfo":"为进一步提高<span style=\"color:red\">遗传算法</span>-<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>的计算速度和计算效率,将<span style=\"color:red\">量子</span><span style=\"color:red\">算法</span>融合到<span style=\"color:red\">遗传算法</span>-<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>中,提出一种新的特征选择方法:<span style=\"color:red\">量子</span><span style=\"color:red\">遗传算法</span>-<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>(Quantum genetic algorithm-partial square least,QGA-PLS)<span style=\"color:red\">算法</span>.该方法利用<span style=\"color:red\">量子</span>态和叠加态原理对染色体进行编码,采用<span style=\"color:red\">量子</span>旋转门进行<span style=\"color:red\">遗传</span>操作,以实现参数的更新和增强种群多样性,同时,用<span style=\"color:red\">量子</span>计算重新构建了<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>回归模型来计算个体适应度,以充分发挥快速收敛和全局优化能力.将方法应用于函数极值优化和Iris数据集的特征选择,实验结果表明, QGA-PLS在特征选择、运算时间和分类准确率方面优于QGA和GA-PLS,从而验证了QGA-PLS<span style=\"color:red\">算法</span>的有效性.","authors":[{"authorName":"李胜","id":"72acc071-4df2-4a25-9337-101d6ed84ea3","originalAuthorName":"李胜"},{"authorName":"张培林","id":"d80e7f03-a357-4b42-a363-6d88566bcffb","originalAuthorName":"张培林"},{"authorName":"李兵","id":"ebd93615-307a-4567-9f87-7a1d678aa010","originalAuthorName":"李兵"},{"authorName":"周云川","id":"7b78c077-6827-481d-92bc-6f22bf227507","originalAuthorName":"周云川"}],"doi":"10.3969/j.issn.1007-5461.2014.02.011","fpage":"194","id":"db67d8f8-bc21-41e5-9db3-5f01e7d07866","issue":"2","journal":{"abbrevTitle":"LZDZXB","coverImgSrc":"journal/img/cover/LZDZXB.jpg","id":"53","issnPpub":"1007-5461","publisherId":"LZDZXB","title":"量子电子学报   "},"keywords":[{"id":"455fa4fe-8952-419d-90cd-c023d3eae3e3","keyword":"<span style=\"color:red\">量子</span>光学","originalKeyword":"量子光学"},{"id":"ee2bc0ba-f16d-43c5-a998-44f8c4fc362e","keyword":"<span style=\"color:red\">量子</span><span style=\"color:red\">遗传算法</span>-<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>","originalKeyword":"量子遗传算法-偏最小二乘法"},{"id":"03ec839d-a7ff-4f45-b83a-65fbf07f593e","keyword":"<span style=\"color:red\">量子</span>计算","originalKeyword":"量子计算"},{"id":"f9d617f8-a3a2-4386-b468-8774ba6c7180","keyword":"特征选择","originalKeyword":"特征选择"}],"language":"zh","publisherId":"lzdzxb201402011","title":"<span style=\"color:red\">量子</span>GA-PLS特征选择<span style=\"color:red\">算法</span>及其应用","volume":"31","year":"2014"},{"abstractinfo":"将<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>与BP人工神经网络结合,建立了一种新的预测模型：PLS-BP神经网络模型。模型应用<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>来提取主成分R及得分T,根据交叉有效性检验和留N法来确定PLS的成分个数,PLS-BP网络的输入数目和网络隐含层的节点数目,最终确定网络的结构为6-11-1。应用该模型可以有效地避免几个因素之间的多重相关性问题,同时也能更好地解决非线性问题,克服了<span style=\"color:red\">偏</span><span style=\"color:red\">最小二</span>乘和单纯BP网络的缺点。在钢筋屈服强度的预测中表明,应用PLS-BP模型预测的误差均小于1.03%,比应用于<span style=\"color:red\">偏</span><span style=\"color:red\">最小二</span>乘回归模型的误差6.19%要小得多,并且预测值和实际值比较吻合。","authors":[{"authorName":"景琳琳","id":"7d523872-dca1-4976-bf90-d9d4e89f2031","originalAuthorName":"景琳琳"},{"authorName":"袁守谦","id":"e1c081f3-9525-46ee-898a-cec6f4a39855","originalAuthorName":"袁守谦"},{"authorName":"李都宏","id":"08ceeba4-dce1-459e-baae-b280091498a2","originalAuthorName":"李都宏"}],"doi":"","fpage":"59","id":"97a8cfc6-4840-47b6-8de7-94416fe6b329","issue":"6","journal":{"abbrevTitle":"WLCS","coverImgSrc":"journal/img/cover/WLCS.jpg","id":"64","issnPpub":"1001-0777","publisherId":"WLCS","title":"物理测试"},"keywords":[{"id":"263bae92-cfb3-4e97-afd2-6ba0a0cf465d","keyword":"<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>","originalKeyword":"偏最小二乘法"},{"id":"bb5f09d3-93ce-45a8-821b-db38a6cf75c8","keyword":"BP神经网络","originalKeyword":"BP神经网络"},{"id":"62e3f275-f766-41a2-ba04-a7b73b86cbc0","keyword":"屈服强度","originalKeyword":"屈服强度"}],"language":"zh","publisherId":"wlcs201206019","title":"基于<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>的BP网络预测钢筋的屈服强度","volume":"30","year":"2012"},{"abstractinfo":"<span style=\"color:red\">最小二乘法</span>是求解精确晶格参数的基本方法.讨论了使用和不使用校正函数情形下的科恩<span style=\"color:red\">最小二乘法</span>,给出了所有晶系的法方程、晶格参数、误差估计的计算公式,以及计算晶格参数、校正函数参数的阻尼<span style=\"color:red\">最小二</span>乘迭代<span style=\"color:red\">算法</span>,该方法具有普适性,有大的收敛范围和快的收敛速度.作为应用例子,计算了数个不同晶系晶体的晶格参数,说明<span style=\"color:red\">最小二乘法</span>是获得高精度晶格参数的计算方法;用阻尼<span style=\"color:red\">最小二乘法</span>计算了ChuG校正函数的参数,表明该方法是获得校正函数参数的有效方法.","authors":[{"authorName":"张庆礼","id":"ce01ff48-6c76-42e1-bdd8-787ad9709028","originalAuthorName":"张庆礼"},{"authorName":"王宜申","id":"55c3e905-75ae-4fad-a526-708ba2f88e56","originalAuthorName":"王宜申"},{"authorName":"肖进","id":"09a84918-c610-41be-bb62-49ff40b7e247","originalAuthorName":"肖进"},{"authorName":"李冬青","id":"fc776fa7-fdb2-48cc-9a68-1f5a9f465325","originalAuthorName":"李冬青"},{"authorName":"殷绍唐","id":"20400f75-806a-460c-a71c-4e2a5e097e8c","originalAuthorName":"殷绍唐"}],"doi":"10.3969/j.issn.1007-5461.2009.02.010","fpage":"177","id":"24ddce29-5fdd-4926-9704-e581e560e29f","issue":"2","journal":{"abbrevTitle":"LZDZXB","coverImgSrc":"journal/img/cover/LZDZXB.jpg","id":"53","issnPpub":"1007-5461","publisherId":"LZDZXB","title":"量子电子学报   "},"keywords":[{"id":"b76c58bf-b8fd-4f32-8384-5eb45b7a7564","keyword":"材料","originalKeyword":"材料"},{"id":"da8fe6db-c924-463a-bf44-fb908a06172a","keyword":"晶格参数","originalKeyword":"晶格参数"},{"id":"1b3d33c2-b7d7-4977-94f2-e18db770cf56","keyword":"科恩<span style=\"color:red\">最小二乘法</span>","originalKeyword":"科恩最小二乘法"},{"id":"04a0bcb0-91e7-4c38-a463-17552fbed53d","keyword":"法方程","originalKeyword":"法方程"},{"id":"29c6d49d-0fab-4ecd-b0a1-dbc8d6bb3e11","keyword":"衍射角校正函数","originalKeyword":"衍射角校正函数"},{"id":"c6258769-92e4-4351-b3c0-6cac0b964d64","keyword":"阻尼<span style=\"color:red\">最小二乘法</span>","originalKeyword":"阻尼最小二乘法"}],"language":"zh","publisherId":"lzdzxb200902010","title":"<span style=\"color:red\">最小二乘法</span>计算晶格参数","volume":"26","year":"2009"},{"abstractinfo":"基于灰色关联分析方法，利用2000—2013年中国珠宝首饰的国内消费和进出口数据进行了实证分析，其结果表明：城镇固定资产投资和实际利用外资对中国珠宝首饰的消费及贸易呈现最为显著的影响；城镇职工医疗保险规模及参加新型农村合作医疗比率与中国珠宝首饰消费及贸易额的变动呈现正向显著的影响。基于<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>进行了回归和预测，其结果表明：国际投资对中国珠宝首饰贸易呈现显著的替代效应；城镇职工医疗保险规模的扩大对中国珠宝首饰的进出口额产生抑制效应。中国珠宝首饰消费市场发展比较缓慢，出口外贸珠宝行业已处于升级阶段，贸易规模逐步扩大。","authors":[{"authorName":"张杨辉","id":"02e54f36-3ab1-49d3-8903-0cbe6ff02b7c","originalAuthorName":"张杨辉"}],"doi":"10.11792/hj20150802","fpage":"7","id":"57b9ec97-d3bb-4702-97b6-5debbe0aeb7e","issue":"8","journal":{"abbrevTitle":"HJ","coverImgSrc":"journal/img/cover/HJ.jpg","id":"44","issnPpub":"1001-1277","publisherId":"HJ","title":"黄金"},"keywords":[{"id":"00518928-c8eb-4023-8e60-e55c2c342f00","keyword":"灰色关联分析法","originalKeyword":"灰色关联分析法"},{"id":"40dd2785-d1ac-4f95-b52d-7e6307a4bf23","keyword":"<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>","originalKeyword":"偏最小二乘法"},{"id":"12f757ce-3123-46b1-8859-0278a5c13e32","keyword":"固定资产投资","originalKeyword":"固定资产投资"},{"id":"3ba37d14-48e8-4b4f-ba61-f084d2eaa5eb","keyword":"实际利用外资","originalKeyword":"实际利用外资"},{"id":"9889b868-8c3b-472f-9147-e8e740c72a5c","keyword":"医疗保障","originalKeyword":"医疗保障"},{"id":"82542f0e-41d1-4f40-a875-7dafcc0e5aea","keyword":"珠宝消费及贸易","originalKeyword":"珠宝消费及贸易"}],"language":"zh","publisherId":"huangj201508003","title":"基于灰色关联和<span style=\"color:red\">偏</span><span style=\"color:red\">最小二乘法</span>的中国珠宝首饰消费及贸易影响分析","volume":"","year":"2015"},{"abstractinfo":"报道了一种使用<span style=\"color:red\">最小二乘法</span>拟合大气激光雷达回波信号,计算消光系数边界值的<span style=\"color:red\">算法</span>.对于无云层天气条件,利用<span style=\"color:red\">最小二乘法</span>对回波信号全程拟合获得大气消光系数边界值,在有云层天气下,先将激光雷达信号在大气中的传输光路分解为云层区和非云层区,忽略回波信号中的云层信息,并假设在非云层区大气近似均匀,利用<span style=\"color:red\">最小二乘法</span>拟合获得大气消光系数边界值.最后利用消光系数边界值求解激光雷达方程,反演获得大气消光系数.实际计算证明,用此<span style=\"color:red\">算法</span>可获得与实际更为接近的大气消光系数反演结果.","authors":[{"authorName":"贺应红","id":"362f1b32-e6a4-4644-90a3-0c18d20b7538","originalAuthorName":"贺应红"},{"authorName":"郑玉臣","id":"924b3bc7-a126-4023-9c5d-5840d281c62d","originalAuthorName":"郑玉臣"},{"authorName":"程娟","id":"13dd54a1-b14f-4444-b03f-cf86787399ff","originalAuthorName":"程娟"},{"authorName":"左浩毅","id":"9a4ade2c-65ba-4dc1-8dc3-23fc77adfefe","originalAuthorName":"左浩毅"},{"authorName":"杨经国","id":"8cb3d589-78cb-4b57-abbd-fda222e41e93","originalAuthorName":"杨经国"}],"doi":"10.3969/j.issn.1007-5461.2004.06.033","fpage":"879","id":"092367ed-72dc-4b64-9824-613b747cf428","issue":"6","journal":{"abbrevTitle":"LZDZXB","coverImgSrc":"journal/img/cover/LZDZXB.jpg","id":"53","issnPpub":"1007-5461","publisherId":"LZDZXB","title":"量子电子学报   "},"keywords":[{"id":"1a13f3d6-da86-44ab-ae9c-3cdc4d6a2f11","keyword":"大气光学","originalKeyword":"大气光学"},{"id":"c6c07835-c884-49a9-9716-8f8a31b397b6","keyword":"激光雷达","originalKeyword":"激光雷达"},{"id":"4e043dad-4b38-4f0c-a6c5-5bb57e1fcb7f","keyword":"消光系数边界值","originalKeyword":"消光系数边界值"},{"id":"720125b1-e3a8-485f-b76e-ad5d04ee85a7","keyword":"大气消光系数","originalKeyword":"大气消光系数"},{"id":"02772c8e-270e-41f5-9bd6-4770bbc65436","keyword":"<span style=\"color:red\">最小二乘法</span>拟合","originalKeyword":"最小二乘法拟合"}],"language":"zh","publisherId":"lzdzxb200406033","title":"<span style=\"color:red\">最小二乘法</span>拟合大气激光雷达回波信号估算消光系数边界值","volume":"21","year":"2004"},{"abstractinfo":"随着红外物理与红外技术的深入发展,目标的辐射特性测量受到了广泛的重视,红外探测器的辐射定标直接决定了辐射特性测量精度,为此文中建立了辐射定标系统,对3～5 μm的红外焦平面阵列相机进行了绝对辐射定标实验.文中给出了辐射定标的数学模型,制定了定标的流程并进行了相应的辐射定标实验；针对红外标准源和环境波动性的影响,提出了加权<span style=\"color:red\">最小二乘法</span>的辐射定标优化方法；通过外场辐射特性测量实验表明,该方法的反演误差优于4％,提高了辐射定标的精度,结果满足实际工程的需要.","authors":[{"authorName":"张云峰","id":"047a8975-e9c7-4645-a0c6-98d3e184d2e3","originalAuthorName":"张云峰"}],"doi":"10.3788/YJYXS20122706.0832","fpage":"832","id":"6d277c57-9708-4e8d-ab82-60839151cfdb","issue":"6","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   "},"keywords":[{"id":"d5d83861-8d7e-4038-80c6-e12c96bc167e","keyword":"红外焦平面阵列","originalKeyword":"红外焦平面阵列"},{"id":"c47ff7ad-4bfc-4e8f-8c1f-d835d6ee6c77","keyword":"辐射定标","originalKeyword":"辐射定标"},{"id":"d11e6d22-9c39-438d-a195-215c330983e6","keyword":"加权<span style=\"color:red\">最小二乘法</span>","originalKeyword":"加权最小二乘法"},{"id":"15511615-4e00-480b-a95c-fbbdc91b6338","keyword":"辐射特性测量","originalKeyword":"辐射特性测量"}],"language":"zh","publisherId":"yjyxs201206020","title":"基于加权<span style=\"color:red\">最小二乘法</span>的红外辐射定标","volume":"27","year":"2012"},{"abstractinfo":"根据<span style=\"color:red\">最小二乘法</span>原理,只考虑偏心误差和吸收误差,推导出了求解正交晶系点阵常数的5个正则方程,并利用Matlab编程实现了<span style=\"color:red\">最小二乘法</span>精确求解773K 淬火Gd3Co1-xVx系列化合物的晶胞参数.晶胞参数的变化符合费伽定律,a,b,c对V原子分数的增加率分别是0.00031nm/V原子分数,0.00047nm/V原子分数,0.00031nm/V原子分数.x>0.212,晶胞参数基本维持不变,V在Gd3Co中的固溶度为5.3%(原子分数).","authors":[{"authorName":"夏秀文","id":"23c060bb-189d-4abb-b2ed-c85d9d1242c3","originalAuthorName":"夏秀文"},{"authorName":"何维","id":"e40453c7-8696-4e0f-8180-9332de0b766f","originalAuthorName":"何维"},{"authorName":"黄津梨","id":"c109fb59-00f7-4afc-8e24-0f9eacc3f70a","originalAuthorName":"黄津梨"},{"authorName":"梁建烈","id":"7de448ae-47d0-4f0b-a0c7-3313cd7e707f","originalAuthorName":"梁建烈"}],"doi":"10.3969/j.issn.1004-0277.2009.01.006","fpage":"22","id":"b335ff30-6f0a-4035-9f08-61d3d9283fa4","issue":"1","journal":{"abbrevTitle":"XT","coverImgSrc":"journal/img/cover/XT.jpg","id":"65","issnPpub":"1004-0277","publisherId":"XT","title":"稀土"},"keywords":[{"id":"9fb0833c-8ced-431c-b87c-f405f9e60649","keyword":"<span style=\"color:red\">最小二乘法</span>","originalKeyword":"最小二乘法"},{"id":"7c07bc81-b811-4c75-a409-4c296e88fdec","keyword":"稀土金属间化合物","originalKeyword":"稀土金属间化合物"},{"id":"6d2ee351-a790-46d0-bfdf-0e8d5934293c","keyword":"点阵常数","originalKeyword":"点阵常数"}],"language":"zh","publisherId":"xitu200901006","title":"<span style=\"color:red\">最小二乘法</span>精确测定Gd3Co1-xVx的点阵常数和固溶度","volume":"30","year":"2009"},{"abstractinfo":"为保证三维表面形貌评定的准确性,消除测量过程中产生的脉冲噪声和基准偏斜面的影响,提出了一种基于改进中值滤波和<span style=\"color:red\">最小二乘法</span>的三维表面形貌评定方法.该方法通过改进中值滤波去除表面形貌测量中产生的脉冲噪声,采用<span style=\"color:red\">最小二乘法</span>提取基准偏斜面,表面形貌去除脉冲噪声和测量基准偏斜面后得到评定表面形貌,在此基础上,通过高斯滤波法提取粗糙度表面,并计算表面形貌典型评定参数.实验结果表明,评定表面形貌的典型评定参数可更加准确地评定三维表面形貌.","authors":[{"authorName":"炊明伟","id":"35b1f691-e9c7-4e44-adf9-1b07ecc98419","originalAuthorName":"炊明伟"},{"authorName":"冯有前","id":"f27876c9-2f81-43ab-aa0d-fe4e4e0aae9a","originalAuthorName":"冯有前"},{"authorName":"王崴","id":"4c1b087d-bc22-4362-88aa-cff0b4c5de9d","originalAuthorName":"王崴"},{"authorName":"李正朝","id":"e14184e8-7431-40b7-b17e-92c07024cfa4","originalAuthorName":"李正朝"},{"authorName":"徐晓东","id":"aa347738-6d5d-475f-b4f5-0d099716fe60","originalAuthorName":"徐晓东"}],"doi":"","fpage":"118","id":"f865b153-b6ac-468d-8f91-35af2fc38cc6","issue":"6","journal":{"abbrevTitle":"BMJS","coverImgSrc":"journal/img/cover/BMJS.jpg","id":"3","issnPpub":"1001-3660","publisherId":"BMJS","title":"表面技术   "},"keywords":[{"id":"5ff0311d-b25f-4cc5-8554-c9fb4b5f6fac","keyword":"改进中值滤波","originalKeyword":"改进中值滤波"},{"id":"c3a2b414-0831-4ca5-85d4-965687908b67","keyword":"<span style=\"color:red\">最小二乘法</span>","originalKeyword":"最小二乘法"},{"id":"811c0721-41dd-4d20-a335-bcd91ef85962","keyword":"三维表面形貌","originalKeyword":"三维表面形貌"},{"id":"b9790ad7-ca30-4e5a-8529-f6ee6340fc1e","keyword":"表面评定","originalKeyword":"表面评定"}],"language":"zh","publisherId":"bmjs201206034","title":"改进中值滤波和<span style=\"color:red\">最小二乘法</span>在三维表面评定中的应用","volume":"41","year":"2012"},{"abstractinfo":"针对板宽变化时需要不同拓扑结构的神经网络才能完成板形模式识别任务,网络学习工作量大,网络存在收敛速度慢,易陷入局部极小等结构性能不佳的问题,首次建立了以勒让德正交多项式为基模式的只用6个输入信号、3个输出信号的板形模式识别GA-BP网络模型.该模型不仅结构简单,而且物理意义明确,识别精度较高,解决了板宽变化时神经网络结构形式不变的问题,从而实现了板形模式识别的智能化.又提出了基于勒让德正交多项式的板形模式识别<span style=\"color:red\">最小二乘法</span>,该方法简单、实用,识别精度较高,克服了传统的<span style=\"color:red\">最小二</span>乘模型板形模式识别的缺点和不足.为板形模式识别提供了两种简便实用的新方法,发展了板形模式识别理论和方法.","authors":[{"authorName":"张秀玲","id":"d7385a15-422b-4e7c-ba31-a75a61abf04a","originalAuthorName":"张秀玲"},{"authorName":"刘宏民","id":"cb95d9e9-29d1-452f-8f2d-a4f0e581bd8c","originalAuthorName":"刘宏民"}],"doi":"","fpage":"29","id":"259f12cb-25cf-40b7-b871-34ac155c5fd2","issue":"10","journal":{"abbrevTitle":"GT","coverImgSrc":"journal/img/cover/GT.jpg","id":"27","issnPpub":"0449-749X","publisherId":"GT","title":"钢铁"},"keywords":[{"id":"e1329d77-a66b-45f6-9148-52387c416056","keyword":"板形","originalKeyword":"板形"},{"id":"1f0317c8-09b8-40fc-8f14-ba65376023a2","keyword":"模式识别","originalKeyword":"模式识别"},{"id":"35b14ca7-eeba-4ade-bc5d-5232985a6a0b","keyword":"勒让德多项式","originalKeyword":"勒让德多项式"},{"id":"383c426d-b3de-4083-a4ee-abb4c6f108da","keyword":"<span style=\"color:red\">遗传算法</span>","originalKeyword":"遗传算法"},{"id":"a76b338a-fbc8-4ae6-ba59-bc0a528be715","keyword":"神经网络","originalKeyword":"神经网络"},{"id":"cae7660e-23b5-4695-8456-fdbb981e7586","keyword":"<span style=\"color:red\">最小二乘法</span>","originalKeyword":"最小二乘法"}],"language":"zh","publisherId":"gt200310009","title":"板形模式识别的GA-BP模型和改进的<span style=\"color:red\">最小二乘法</span>","volume":"38","year":"2003"},{"abstractinfo":"为了分析油纸绝缘系统的介电频谱与微水含量、温度之间的关系,在实验室搭建了频域介电谱法的测试平台.根据油纸绝缘系统的Debye弛豫模型,推导出了复电容实部与虚部的计算公式,并利用<span style=\"color:red\">最小二乘法</span>对测试数据进行曲线拟合,得到弛豫模型中的参数值,找出参数值的变化规律,并根据其来评估变压器的绝缘状况.结果表明:油纸复合绝缘系统复介电常数的实部和虚部都随温度和微水含量的增大而增大;温度和微水会影响等效模型中的参数,将弛豫参数的变化规律应用于变压器的状态评估有一定的可行性.","authors":[{"authorName":"王晓剑","id":"df858603-5048-4ad2-96de-fcea3a5ab035","originalAuthorName":"王晓剑"},{"authorName":"彭倩","id":"8e452928-58a4-47a5-8bf4-87b64fcdc0df","originalAuthorName":"彭倩"},{"authorName":"刘君","id":"973a7ae3-ebfa-429e-99e9-fc699d6c1f3c","originalAuthorName":"刘君"},{"authorName":"姚晓","id":"65e3ec21-c5be-4feb-9da0-75eb459b3ffb","originalAuthorName":"姚晓"},{"authorName":"周利军","id":"866062a3-d63c-4b94-9e50-dd7d67276706","originalAuthorName":"周利军"},{"authorName":"陈凌","id":"42f0e02f-3b61-439c-867a-4c7cccb39b19","originalAuthorName":"陈凌"}],"doi":"","fpage":"64","id":"0f93fd28-cdc3-4024-bd7d-be199a872f33","issue":"4","journal":{"abbrevTitle":"JYCL","coverImgSrc":"journal/img/cover/JYCL.jpg","id":"50","issnPpub":"1009-9239","publisherId":"JYCL","title":"绝缘材料"},"keywords":[{"id":"19d8508b-6a2d-4441-bd94-95227374d2c4","keyword":"频域介电谱法","originalKeyword":"频域介电谱法"},{"id":"fec76802-96cc-41e0-8557-46a7e9367c95","keyword":"复介电常数","originalKeyword":"复介电常数"},{"id":"5bdea880-d1ae-452b-be0f-e352f6bba9ad","keyword":"微水含量","originalKeyword":"微水含量"},{"id":"61f7e590-806c-43d7-beaf-46393c7f608e","keyword":"温度","originalKeyword":"温度"},{"id":"00ff1ec7-1439-4755-bee5-e722e66a2684","keyword":"<span style=\"color:red\">最小二乘法</span>","originalKeyword":"最小二乘法"}],"language":"zh","publisherId":"jycltx201204017","title":"基于<span style=\"color:red\">最小二乘法</span>的变压器油纸绝缘频域介电谱法的研究","volume":"","year":"2012"}],"totalpage":3705,"totalrecord":37048}