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propagation算法
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  “propagation算法”译为未确定词的双语例句
     ESTIMATION OF ANGLES OF ARRIVAL USING THE BACK-PROPAGATION ALGORITHM IN MULTILAYER NEURAL NETWORK
     在多层神经网络中用Back-Propagation算法进行方位角估测
短句来源
     An Improved Belief-Propagation Algorithm with Channel Estimation of LDPC under Block Fading Channels
     分组衰落信道下LDPC的一种带信道估计的改进Belief-Propagation算法
短句来源
     We have made a multi-layer neural network program in C language. The network was trained by known DNA promoter and random sequences using back-propagation algorithm.
     我们用C语言编制了多层神经网络的程序,把已知的DNA启动子序列和随机的DNA序列作为训练集,用back—propagation算法训练神经网络。
短句来源
     Firstly it is proved by simulation that the Low Density Parity Check(LDPC) code has sound performance under block fading channel when decoded by general belief-propagation algorithm.
     该文首先通过仿真证明了LDPC(Low Density Parity Check code)在分组衰落信道下,以通常的 Belief-propagation算法译码,具有较好性能。
短句来源
     By mixing effective equations for capturing interface, level-set equation into Euler equations and using high resolution wave-propagation algorithms, a Mach 1 22 air shock collapse of a helium bubble, Richmyer-Meshkov interface instability problem are simulated. Compared with the results of Ghost fluid method, numerical results are satisfied.
     计算方法采用二阶精度 Wave-propagation算法 ,通过对气体 -液体两种流体的一维 Riemann问题、激波和气泡相互作用以及气液两种流体Richtmyer-Meshkov界面不稳定性问题进行数值模拟 ,抑制了不同介质界面两侧的非物理振荡。
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  相似匹配句对
     The algorithm is an extension of the two-valued cover-most algorithm proposed by M. C.
     该算法是M. C.
短句来源
     PCA and algorithms analysis
     主成分分析及算法
短句来源
     Survey Propagation: An Effective Algorithm for Solving SAT
     Survey Propagation:一种求解SAT的高效算法
短句来源
     The Survey propagation is a new SAT(CSP)algorithm.
     Survey ProPagation是一种新生的SAT(CSP)算法
短句来源
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  propagation algorithm
This network has a 3 : 3 : 1 topology that was trained using a back-propagation algorithm.
      
Multilayer Perceptrons with different numbers of neurons in the hidden layer have been trained using different values of the signal-to-noise ratio to minimize the mean square error using the error back-propagation algorithm.
      
Multi-layer feed-forward neural networks trained with an error back-propagation algorithm have been used to model retention behaviour of liquid chromatography as a function of the composition of the mobile phases.
      
Multi-layer feed-forward neural networks trained with an error back-propagation algorithm have been used to model retention behaviour of liquid chromatography as a function of the composition of the mobile phases.
      
It is used to update the parameters of Takagi-Sugeno model, which is employed to describe the behavior of the system; 3) Gradient descent algorithm is also proposed for the fuzzy values according to the back propagation algorithm of neural network.
      
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A back-propagating arithmetic,which has been applied to lager models of artificial nerve neprob-lems in mineral resource prognostication. Many resuolts which are sinalar to those processing products of numerical theory Ⅱ have been obtained.

本文用Back-Propagation算法在层次模型的人工神经网络中处理矿产资源统计预测问题,得出与数量化理论Ⅱ处理极为相似的结果。

The optimum learning rate BP algorithm is reviewed for addressing problem-involved in numerical experiments and formulas to efficiently implement it when applied to several net architectures most in use. The simulation results further release properties of the algorithm.

本文评述优化学习率BP(Back Propagation)算法,给出应用研究中几种常用网络结构的优化学习率的计算公式,讨论与算法实现相关的一些问题.模拟实验结果进一步揭示算法的快速性质.

Pattern recognition is one of the most promising fileds of neural network application.This paper is concerned with several improvements to neural network based on back-propagation (BP) algorithm for handwritten numeral recognition. Neural Network classifiers with feature input and pixel input are studied,and a comparison between the two classifier is made.The recognition mechanics, recognition ability and adaptive learning of the proposed neural network are experimentally studied.The concept of error tolerance...

Pattern recognition is one of the most promising fileds of neural network application.This paper is concerned with several improvements to neural network based on back-propagation (BP) algorithm for handwritten numeral recognition. Neural Network classifiers with feature input and pixel input are studied,and a comparison between the two classifier is made.The recognition mechanics, recognition ability and adaptive learning of the proposed neural network are experimentally studied.The concept of error tolerance is emphasized to express the recongnition mechanism of the neural network.This research is carried out. with the help of the SSNN-software simulator of neural network developed by the authors of this paper,too.

模式识别是神经网络最有前景的应用领域之一,本文主要讨论如何提高多层神经网络 BP(Back-propagation)算法的学习速度以及该算法用于手写数字识别的研究.文中提出了局部连接的网络结构,并对基于特征输入和基于点阵输入两种神经网络分类器的特点进行了比较,针对神经网络的识别机制、识别能力和自适应学习,进行了深入讨论.本文还给出容错能力的概念,用以描述神经网络对非学习样本的分类机制.所有研究工作是在作者研制的 SSNN 神经网络仿真软件上进行的.

 
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