助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   parameter training 的翻译结果: 查询用时:0.164秒
图标索引 在分类学科中查询
所有学科
自动化技术
电信技术
更多类别查询

图标索引 历史查询
 

parameter training
相关语句
  参数训练
     The structure of fuzzy logic system predicator based on neural network is proposed. Its parameter training is carried out by using mutation GA algorithm and self-tunning adaptivity aross.
     提出了基于神经网络的模糊逻辑系统辨识器的结构形式,利用自适应交叉率、变异率GA算法对其进行参数训练
短句来源
     In order to decrease the parameter size of acoustic models in speech recognition and improve the robustness of parameter training, a fuzzy clustering analysis method was used for parameter clustering. Based on the structure of phonetic decision tree, the proposed parameter clustering method includes Gaussians clustering and covariance sharing.
     为减少语音识别中声学模型的参数量,提高参数训练的鲁棒性,基于声学决策树结构,提出利用模糊聚类分析方法对模型参数聚类,包括高斯聚类和方差共享.
短句来源
     And a three layer neural network to simulate the most concise rules is constructed. Inputs and outputs of the neural network are decided by the parameter training method that is provided in this paper.
     然后构造三层神经网络模拟最简规则,其中网络的输入输出由本文提出的参数训练方法确定.
短句来源
     To efficiently decrease the parameter size and improve the robustness of parameter training, a revaluing fuzzy-clustering based on Phonetic Tied-mixture HMM (PTM), i.e. FPTM, was presented.
     为减少语音识别中声学模型的参数量,提高参数训练的鲁棒性,提出了一种基于升值法模糊聚类的异音混合共享模型。
短句来源
     The wavelet neural network model is established by combining neural network with the theory of wavelet analysis. The evolutional algorithm is adopted in parameter training.
     将神经网络和小波分析理论相结合建立小波神经网络模型,在网络参数训练中采用进化算法,设计小波神经网络进化算法步骤。
短句来源
  “parameter training”译为未确定词的双语例句
     Although HMT model captures intrascale and interscale dependencies of wavelet coefficients, model parameter training is complex and computationally expensive.
     小波域隐马尔可夫树(HiddenMarkovTree,HMT)模型可以很好地刻画尺度内与尺度间小波系数的相关性,但模型参数的训练过程复杂,计算量大。
短句来源
     The membership function of fuzzy net adopts the triangle function. The parameter training adopts the improved evolutionary programming algorithm with the proposed recursivechanging rate.
     网络模型的隶属度函数采用三角形函数,参数学习采用改进的进化规划算法,并提出递归变化率的概念。
短句来源
     It analyzes keystroke feature extraction, observation encoding and HMM parameter training.
     并对击键特征值的提取、观测值编码等问题进行了分析。
短句来源
  相似匹配句对
     Training
     培训
短句来源
     Parameter Design and Training for Creativity
     参数化设计技术与创新人才的培养
短句来源
     Parameter estimation is the core problem of the training process.
     其中,参数估计是学习问题的核心。
短句来源
     elctronic training
     浅谈电子培训(E-training)
短句来源
     and b was empirical parameter.
     b为经验常数。
短句来源
查询“parameter training”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  parameter training
The structure/parameter training algorithm exhibits good learning and generalization capabilities as demonstrated via a series of simulation studies.
      
We specifically attempt to incorporate language modelling and parameter training into our algorithm.
      
The integer linear programming technique used in this work, can be applied to parameter training for other problems.
      
Therefore, the more the initial MFs resemble the optimal ones, the easier it will be for the parameter training to converge.
      


Speech recognition systems work in practical environments using parameters train in quiet environments. The system performance is satisfactory when the environment is also quiet, but degrades quickly in noisy environments. This paper presents a noisy speech recognition system with added background noise so that the recognition system can work well both in quiet and noisy environments. Speech enhancement as the front end processing module is used to improve the Signal to Noise Ratio (SNR) of the input...

Speech recognition systems work in practical environments using parameters train in quiet environments. The system performance is satisfactory when the environment is also quiet, but degrades quickly in noisy environments. This paper presents a noisy speech recognition system with added background noise so that the recognition system can work well both in quiet and noisy environments. Speech enhancement as the front end processing module is used to improve the Signal to Noise Ratio (SNR) of the input signal for recognition in the latter stages. Three different speech enhancement algorithms were tested with six types of noise. Experimental results show that the cascading of the speech enhancer and a Hidden Markov Model (HMM) based speech recognizer can significantly improve recognition accuracy in noisy environments without performance degradation for clean speech.

语音识别系统通常是将在安静的环境下训练得到的参数应用于实际环境中。如果实际环境也是安静的 ,则语音识别系统可以令人满意地工作。然而 ,当实际环境中有噪声存在时 ,语音识别系统性能急剧下降。为了让语音识别系统在安静的环境和有噪声的环境中都获得令人满意的工作性能 ,研究了一个将语音增强器和语音识别器级连起来的系统。该系统中 ,语音增强作为前端处理用于提高识别器输入端信号的信噪比。通过 3种不同的增强算法用于纯净语音和3种类型带噪语音的实验结果分析比较表明 ,这一方法对纯净语音的识别精度几乎没有任何改变而大大提高了系统的抗噪声性能

A 3-layer BP(back propagation) network is developed for the gain scheduling flight control law in a large flight envelope curve for a flight by wire flight control system. It can replace the traditional gain scheduling according to the altitude, Mach number or dynamical pressure which is only one-parameter adjusting and then difficult to find the adjust rule and so the stability in hole flight envelope curve, specially for those flight conditions between the designed points, can't be guaranteed. The design...

A 3-layer BP(back propagation) network is developed for the gain scheduling flight control law in a large flight envelope curve for a flight by wire flight control system. It can replace the traditional gain scheduling according to the altitude, Mach number or dynamical pressure which is only one-parameter adjusting and then difficult to find the adjust rule and so the stability in hole flight envelope curve, specially for those flight conditions between the designed points, can't be guaranteed. The design procedure included choosing a BP network with middle layer of 6 points only and its parameter train. The outputs are the designed optimal robust 8 feedback gains. This network realized double parameters (altitude and Mach) gain adjusting. The illustration shows the neural network can give the same control parameters at the designed flight conditions and then the response can be the same good as before. It gets a good control effect at other un-designed flight conditions, also for the system with about 50% dynamical modeling error. It gives more finely carve up result of the control parameters between all flight conditions and shows a strong extrapolate ability.

对于具有大飞行包线的现代电传飞行控制系统,给出了一种3层BP(BackPropagation)神经网络代替传统的根据动压、高度或马赫数单一调参的控制律,解决了大飞行包线内控制参数复杂、单一调参无规律性、在全飞行包线上特别是在平衡点之间的飞行状态的稳定性无法保证等问题.通过离线训练,得出了一组隐层只有6个节点的网络结构参数,输出为各平衡点设计的最优鲁棒反馈增益.利用该网络实现了大飞行包线的根据高度和马赫数的双参数增益调参.仿真表明,利用该神经网络可以保证在所有平衡点上原设计的最优反馈增益不变,响应过程不变,同时可以细化平衡点之间的控制参数,在较大建模误差(约50%)和平衡点间也可以具有较好的控制效果.

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关parameter training的内容
在知识搜索中查有关parameter training的内容
在数字搜索中查有关parameter training的内容
在概念知识元中查有关parameter training的内容
在学术趋势中查有关parameter training的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社