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The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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0下载：
The proposed approach is based on three stages which (1) use neural networks for constructing a response
function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating
overall performance of a specific
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在风力发电网侧逆变器动态数学模型基础上 采用空间矢量脉冲宽度调制 SVPWM 方式和电网电压合成矢量定向 实现了电流有功分量和无功分量的解耦及功率因数的可调控制.-Dynamic mathematical model based on wind power grid-side inverter the resultant vector of the vector mode and the grid voltage space vector pulse width modulation direc
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为了实现干制红枣的大小自动分级 ， 介绍了应用 机 器 视 觉 的 干 制 红 枣 自 动 分 级 方 法 ， 利 用 CCD 摄 像 机
获取红枣的样本图像 ， 应用 MATLAB 软件编程实现了样本图像的灰度化 、 二值化 、 图 像 分 割 、 图 像 滤 波 、 图 像 形 态
学处理 、 边缘检测和特征量提取等处理 ， 参照 干 制 红 枣 分 级 标 准 完 成 了 红 枣 自 动 分 级 。 通 过 实 验 数 据 回 归 分 析
得出红枣实测纵径 、 果质量与识别值当
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动态分层因子模型的估计程序，在matlab里面即可运行，里面readme有详细介绍-Dynamic hierarchical factor model
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动态因子模型，该模型可以有效对高维数据进行降维，将成百上千的数据信息浓缩在几个因子里面，即从一国许多经济时间序列数据中估计和解释驱动各变量波动的共同动态因子。 MATLAB代码(dynamic factor model, the model can be effective for high-dimensional data dimension reduction, condensed the hundreds of thousands of data in several factors,
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动态因子分层模型，用于经济分析商品初期价格，内容四层动态因子分析模型(Dynamic factor hierarchical model, which is used to analyze the initial price of goods economically, and four level dynamic factor analysis model of content)
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卡马乔的混频马尔科夫区制转换动态因子模型程序(Markov swtiching dynamic factor model program with GAUSS)
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