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非线性集成
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  nonlinear integration
     According to the model a multi-frame detection algorithm of nonlinear integration along tracks is adopted.
     根据该模型采用多帧沿轨迹非线性集成算法进行检测。
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  “非线性集成”译为未确定词的双语例句
     The results show that proper parameters of network structure is the most important,the RBF ANN's nunlinear ensemble forecast is superior to not only the MM5V3's simple scheme but also the linear ensemble of sixteen schemes,the root-mean-square error of temperature between the simulation and observation is also less than the MM5V3's.
     结果表明:选择合适的网络结构参数是至关重要的,神经网络的非线性集成结果均明显优于单个参数化方案和16个方案线性集成的预测结果,整个区域的温度场集成结果比MM5模拟更接近于实况场,均方根误差场也较原MM5方案明显减小. 这些结果对于区域气候的集成预测以及进一步优化神经网络的性能有一定的参考意义.
短句来源
     A fully novel nonlinear integrated forecasting approach with error correction and judgmental adjustment is formulated by means of support vector regression technique.
     最后,基于集成的思想,利用支持向量回归技术对上述3个部分进行非线性集成,从而获得一个更为精确的预测结果。
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  相似匹配句对
     A method of analyzing nonlinear distortion in integrated analog filter
     集成模拟滤波器非线性失真分析方法
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     Nonlinear Macromodels lor Integrated Circuit Operational Amplifiers
     集成运算放大器非线性宏模型
短句来源
     Nonlinear Diffusion
     非线性扩散
短句来源
     Nonlinear Expectation
     非线性数学期望
短句来源
     Logarithmic Amplifiers and Their Integration
     集成对数放大器
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  nonlinear integration
Modelling nonlinear integration of synaptic signals by neurones
      
This paper first gives an overview of the cellular network paradigm, and then discusses the nonlinear integration techniques and related partition issues, previous work on the simulator and our own simulation environment.
      
Nonlinear integration and Weierstrass integral over a manifold: Connections with theorems on martingales
      
Thirdly, the nonlinear integration technique may obtain more synergetic effects than the simple integration or any individual models.
      
We note that our results do not completely exclude the possibility of nonlinear integration of synaptic PSPs via voltage-gated sodium channels.
      


Continuing from the canonical piecewise-linear model on nonlinear devices deduced in the literature[1],it is furthar extended on the bases in this paper. By the characteristics of macro-model, the canonical piecewise-Linear macro-model on any nonlinear IC was established. Its feature is the characteristics of interminais and atomic network are identical or similar in certain precision range

承接文献[1]所推导的非线性器件规范的分段线性化模型,本文在此基础上将其进一步推广。根据宏模型的特点,建立任一非线性集成电路分段线性化宏模型.其特点是在一定精度范围内,其端口特性和原子网络的端口特性相同或近似相同.

By using RBF artificial neural network(ANN),an ensemble forecasting model for the data of regional climate simulation experiments from MM5V3's sixteen combinatorial schemes is established.The results of nine sub-regions of various net parameters are analysed and compared,and then the East Asia temperature is ensembled.The results show that proper parameters of network structure is the most important,the RBF ANN's nunlinear ensemble forecast is superior to not only the MM5V3's simple scheme but also the linear...

By using RBF artificial neural network(ANN),an ensemble forecasting model for the data of regional climate simulation experiments from MM5V3's sixteen combinatorial schemes is established.The results of nine sub-regions of various net parameters are analysed and compared,and then the East Asia temperature is ensembled.The results show that proper parameters of network structure is the most important,the RBF ANN's nunlinear ensemble forecast is superior to not only the MM5V3's simple scheme but also the linear ensemble of sixteen schemes,the root-mean-square error of temperature between the simulation and observation is also less than the MM5V3's.

对MM5V3模式中16组组合区域气候模拟试验所得的结果,分区域以RBF神经网络进行集成,分析了网络结构参数的不同对集成结果的影响,最后对整个区域的温度场进行了集成.结果表明:选择合适的网络结构参数是至关重要的,神经网络的非线性集成结果均明显优于单个参数化方案和16个方案线性集成的预测结果,整个区域的温度场集成结果比MM5模拟更接近于实况场,均方根误差场也较原MM5方案明显减小.这些结果对于区域气候的集成预测以及进一步优化神经网络的性能有一定的参考意义.

A technology based on adaptive image clutter suppression for detecting dim point moving target is investigated.The quad-tree algorithm is used for segmenting a non-stationary original image to some sub-blocks,which are quasi-stationary data.Then a LS adaptive filter is adopted in these blocks to estimate and suppress clutter,which leads to quasi GWN background obtained.Thus the hypothesis of movement continuity is proposed to model target positions in sequential frames with high-order markov chains and construct...

A technology based on adaptive image clutter suppression for detecting dim point moving target is investigated.The quad-tree algorithm is used for segmenting a non-stationary original image to some sub-blocks,which are quasi-stationary data.Then a LS adaptive filter is adopted in these blocks to estimate and suppress clutter,which leads to quasi GWN background obtained.Thus the hypothesis of movement continuity is proposed to model target positions in sequential frames with high-order markov chains and construct the trajectories state space.According to the model a multi-frame detection algorithm of nonlinear integration along tracks is adopted.Consequently it abstains from the disadvantage of excessive searching operations due to using traditional three-dimensional matching algorithm.And it also avoids the SNR fall that three-to-two-dimension projection detection can bring forth.Theoretic analysis and many simulations can prove its validity.

研究了基于自适应图像杂波抑制的微弱点状动目标检测技术。首先利用四叉树算法,将原始的非平稳图像分割成多个准平稳的图像子块,然后对各子块进行LS自适应背景杂波估计与抑制,从而获得准高斯白噪声背景;再利用目标运动连续性假设,将目标在相邻多帧上的位置状态模型化为高阶马尔可夫数据链,建立轨迹状态空间;根据该模型采用多帧沿轨迹非线性集成算法进行检测。既克服了传统的三维匹配算法造成搜索次数巨大的弱点,同时也避免了二维投影检测带来的信噪比下降。理论分析和大量仿真实验证明了其有效性。

 
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