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multilayer perception
相关语句
  多层感知器
     The principle on multilayer perception networks is given,and the three layer perception model and its learning algorithm derived from human kno-wledge on iatelligent control of workpiece dimension accuracy are described.
     描述了多层感知器神经网络的工作原理,阐明了基于人的模糊经验规则实现工件尺寸精度智能监控的三层感知器控制模型和学习算法,并进行了试验仿真。
短句来源
     In this paper,the wind turbine system experiment model is presented. The model is made up with a multilayer perception which is trained by adaptive learning rate BP algorithm.
     应用人工神经网络的建模方法,采用多层感知器的模型结构,利用自适应学习速率的BP学习算法,辨识出风力机系统的功能模型,并把辨识模型的仿真结果与系统实验测量数据相对比,开展了与经典系统辨识方法的比较研究,以检验神经网络模型的可靠性。
短句来源
     In this paper,a new method for detecting flre is proposed,which is the scheme of fire detector based on multilayer perception(MLP).
     本文提出了一种新的火灾探测的方法,即一种基于多层感知器(MLP)火灾探测器方案。
短句来源
     The possibility of decoding convolutional codes by means of the multilayer perception neural entwork (NN) trained with the error back propagation (EBP) algorithm is considered.
     分析运用误差反向传播 (EBP)多层感知器神经网络 (NN)方法来进行卷积码译码的可能性 .
短句来源
     Through training the eigen vectors of characters using support vector machines and multilayer perception networks, 26 letter classifiers, 10 number classifiers and 36 letter-number integrated classifiers were constructed respectively.
     采用支持向量机和多层感知器网络对字符的特征矢量进行训练,分别构造出26个字母分类器、10个数字分类器以及36个字母-数字综合分类器.
短句来源
  多层感知
     A New Image Segmentation Method Based on Genetic Algorithm of Multilayer Perception
     基于多层感知遗传算法的图象分割新方法
短句来源
  多层感知机
     Hybrid Neural Network Based on Transfer Functions of Multilayer Perception and Radial Basis Function
     基于多层感知机和RBF转换函数的混合神经网络
短句来源
     In order to effectively optimizing the solution of feed-forward neural network,a new general transfer function is proposed that effectively unifies the inputs of multilayer perception and radial basis function to provide flexible decision border.
     为了更有效地优化前向神经网络的求解能力,提出了一种新的综合的转换函数,将多层感知机和RBF神经网络更有机地结合起来,以产生灵活的决策边界。
短句来源
  “multilayer perception”译为未确定词的双语例句
     Based on the extrapolation theory, the multilayer perception is employed as the estimator of the extrapolated data, and a new reconstruct method with such extrapolated data is presented in chapter 5. The adaptive motion of reliable region strategy named LMBP perceptron reconstruction algorithm and regulated complex perceptron reconstruction algorithm may converge in the whole area.
     采用信赖域策略的自适应动量扩展LMBP感知器重建算法和正则化复数感知器重建算法具有很强的全局收敛性,不仅收敛速度快,而且预测精度也较高。
短句来源
     The techniques of smoothing pitch period using dynamic programming algorithm, LPC all pole model to approximate the MBE spectral shape, formant enhancement, split vector quantizer, multi stage vector quantizer, multilayer perception of neural networks, etc.
     利用动态规划算法对基音周期进行平滑,去除了声码器中常有的音调噪声。 利用LPC全极点模型谱逼近MBE谱包络,并采用共振峰增强技术来补偿模型误差,有效地降低了编码速率。
短句来源
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  multilayer perception
The main advantage of the proposed system is that the training and diagnosis procedure of SVM are faster and more stable than that of multilayer perception neural networks.
      


A new method for on-line intelligent control of workpiece dimension accuracyvia fuzzy multilayer perception networks is proposed. With good forecast in time,it is aneffective means on the occasions of lack of precise mathematical description or of timed-elayed and non-linear system. The principle on multilayer perception networks is given,and the three layer perception model and its learning algorithm derived from human kno-wledge on iatelligent control of workpiece dimension accuracy are described....

A new method for on-line intelligent control of workpiece dimension accuracyvia fuzzy multilayer perception networks is proposed. With good forecast in time,it is aneffective means on the occasions of lack of precise mathematical description or of timed-elayed and non-linear system. The principle on multilayer perception networks is given,and the three layer perception model and its learning algorithm derived from human kno-wledge on iatelligent control of workpiece dimension accuracy are described. With expe-rimental simulation, the method holds a promise of application.

提出了基于模糊多层感知器神经网络模型的尺寸加工精度在线智能监控新方法,它对于缺乏精确的数学描述或具有时滞、非线性等复杂实际对象,是一种行之有效的技术,并具有及时性和预报性好的特点。描述了多层感知器神经网络的工作原理,阐明了基于人的模糊经验规则实现工件尺寸精度智能监控的三层感知器控制模型和学习算法,并进行了试验仿真。结果表明,方法有效,具有应用前景。

Low bit rate speech coding is one of the most important and fundamental part of modern digital communication network and multimedia techniques. This paper presents a high quality variable rate speech coding at 2.4 kbit/s, 1.2 kbit/s and 800 bit/s based on the algorithm of multi band excitation (MBE). The techniques of smoothing pitch period using dynamic programming algorithm, LPC all pole model to approximate the MBE spectral shape, formant enhancement, split vector quantizer, multi stage vector quantizer,...

Low bit rate speech coding is one of the most important and fundamental part of modern digital communication network and multimedia techniques. This paper presents a high quality variable rate speech coding at 2.4 kbit/s, 1.2 kbit/s and 800 bit/s based on the algorithm of multi band excitation (MBE). The techniques of smoothing pitch period using dynamic programming algorithm, LPC all pole model to approximate the MBE spectral shape, formant enhancement, split vector quantizer, multi stage vector quantizer, multilayer perception of neural networks, etc. are adopted to improve this vocoder. It is implemented in realtime by using a single ADSP2181 fixed point digital signal processor. The speech quality of the real time systems is rather satisfactory.

针对数字化通信网及多媒体应用中低速率数字语音编码问题,以多带激励(MBE)声码器为模型,采用了一些新算法去降低编码速率和改善音质。利用动态规划算法对基音周期进行平滑,去除了声码器中常有的音调噪声。利用LPC全极点模型谱逼近MBE谱包络,并采用共振峰增强技术来补偿模型误差,有效地降低了编码速率。为了能够实时实现这个编码系统,采用了分裂矢量量化,多级矢量量化和前向多层人工神经网络等技术进行优化和改善,使之在2.4kbit/s,1.2kbit/s及800bit/s等速率上实时实现了较高质量的语音压缩编码。

In this paper,the wind turbine system experiment model is presented.The model is made up with a multilayer perception which is trained by adaptive learning rate BP algorithm.The model prediction result is compared to experiment data and also compared to the prediction result which is from linear experiment model,based on modern identification theory.

应用人工神经网络的建模方法,采用多层感知器的模型结构,利用自适应学习速率的BP学习算法,辨识出风力机系统的功能模型,并把辨识模型的仿真结果与系统实验测量数据相对比,开展了与经典系统辨识方法的比较研究,以检验神经网络模型的可靠性。实验结果表明,这种新的风力机系统建模方法具有很高的精度。

 
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