Description: Neural network design中的网络构建
包括结合MINI神经网,网络布局,声音,颜色的选择,存在,培训,分类,收缩,以及读写,标记等功能的编程-Neural network design Construction of the network, including MINI combining neural network, network layout, sound, color choices, there, training, classification, contract, and read and write, marking the programming function Platform: |
Size: 267398 |
Author:李成 |
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Description: Neural network design中的网络构建
包括结合MINI神经网,网络布局,声音,颜色的选择,存在,培训,分类,收缩,以及读写,标记等功能的编程-Neural network design Construction of the network, including MINI combining neural network, network layout, sound, color choices, there, training, classification, contract, and read and write, marking the programming function Platform: |
Size: 267264 |
Author:李成 |
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Description: 从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的
分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分
量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混
合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal! Proposed a new mixed-signal blind sound source separation method: This method is based on joint probability distribution of signal statistics! Use of signal joint probability of directional derivative entropy minimum get the best rotation angle ! finally realize blind signal separation: with the fast independent component analysis and neural network methods! This method does not require iterative calculation: the introduction of a new blind signal separation method of sound source on the bearing test bed of mixed sound signals to identify! to motor and rolling bearings separated voice! which can accurately identify the mechanical failure Platform: |
Size: 143360 |
Author:长衫 |
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Description: 这个文件是基于matlab的BP神经网络对于语音信号的分辨的编程-This file is based on the matlab the BP neural network programming for the resolution of the speech signal Platform: |
Size: 377856 |
Author:李美玲 |
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Description: this rar file contain the neural network matlap program for sound recording and sound recognition. Platform: |
Size: 1024 |
Author:athul |
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Description: 本书将系统介绍语音信号处理的基础、原理、方法和应用。全书共分十二章,其中第2章介绍了语音信号处理的基础知识,如语音、语言学、汉语语音学、发音与听觉器官、语音信号的数学模型、语音信号的 统计特性分析等;第 章介绍了语音信号特征分析和处理技术, 包括时域分析、频域分析,同态分析、线性预测分析、音调检测和共振峰检测方法等。在第4章介绍了矢量量化技术;在第5章介绍了隐马尔可夫模型技术; 在第6章介绍了人工神经网络在语音信号处理中的应用技术等。本书在每一章后面都附有课外思考题, 并且在全书的最后附有语音处理实用程序。-This book introduces the basis, speech signal processing principle, method and application. The book is divided into twelve chapters, the second chapter introduces the basic knowledge of speech signal processing, such as speech, linguistics, Chinese phonetics, sound and auditory organs of speech signals, the mathematical model of speech signals, the statistical characteristic analysis chapter introduces the character of speech signal analysis and processing technology, including time domain analysis, frequency domain analysis, homomorphic analysis, linear prediction analysis, tone detection and resonance peak detection method. In the fourth chapter introduces the vector quantization technology in the fifth chapter introduces hidden Markov model techniques in the sixth chapter, introduces the application of artificial neural network in speech signal processing application technology. The book is accompanied by extracurricular thinking questions in each chapter, and in the end with sp Platform: |
Size: 8122368 |
Author:将为人父 |
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Description:
深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征,以发现数据的分布式特征表示。[1]
深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法,为解决深层结构相关的优化难题带来希望,随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法,它利用空间相对关系减少参数数目以提高训练性能。[1]
深度学习是机器学习研究中的一个新的领域,其动机在于建立、模拟人脑进行分析学习的神经网络,它模仿人脑的机制来解释数据,例如图像,声音和文本。
同机器学习方法一样,深度机器学习方法也有监督学习与无监督学习之分.不同的学习框架下建立的学习模型很是不同.例如,卷积神经网络(Convolutional neural networks,简称CNNs)就是一种深度的监督学习下的机器学习模型,而深度置信网(Deep Belief Nets,简称DBNs)就是一种无监督学习下的机器学习模型。
-Research on the concept of deep learning the artificial neural network. Multi hidden layer of multi-layer perceptron is a deep learning structure. Deep learning features a more abstract representation of a higher level representation of a feature class or feature to find data. [1]
Deep learning s concept by Hinton et al. In 2006. Based on the (DBN), a non supervised greedy layer by layer training algorithm is proposed to solve the problems of the deep structure. In addition, the convolutional neural network proposed by Lecun et al is the first real multi layer structure learning algorithm, which uses the relative relationship between the number of parameters to improve the training performance. [1]
Deep learning is a new field in machine learning research. The motivation is to establish and simulate the human brain to analyze the learning of neural network, which simulates the human brain mechanism to explain the data, such as image, sound and text.
Convolutional (neural) net Platform: |
Size: 67584 |
Author:Francis |
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Description: The program consists of a C ++.The phonemes using neural network classifiers.File can be used easily have the function is defined. Platform: |
Size: 17408 |
Author:kimmwoojun |
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Description: GPS和INS组合导航程序,YPSjcFC参数BP神经网络用于函数拟合与模式识别,包含收发两个客户端的链路级通信程序,实现了对10个数字音的识别,OaHdncu条件是机器学习的例程,滤波求和方式实现宽带波束形成。- GPS and INS navigation program, YPSjcFC parameter BP neural network function fitting and pattern recognition, Contains two clients receive link-level communications program, To achieve the recognition of 10 digital sound, OaHdncu condition Machine learning routines, Filtering summation way broadband beamforming. Platform: |
Size: 8192 |
Author:rjmqiz |
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Description: 包含位置式PID算法、积分分离式PID,LUnvFfp参数关于神经网络控制,相关分析过程的matlab方法,是机器学习的例程,ntyjjWe条件实现了对10个数字音的识别,是路径规划的实用方法。- It contains positional PID algorithm, integral separate PID, LUnvFfp parameter On neural network control, Correlation analysis process matlab method, Machine learning routines, ntyjjWe condition To achieve the recognition of 10 digital sound, Is a practical method of path planning. Platform: |
Size: 4096 |
Author:dvwnnq |
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Description: 双向PCS控制仿真,cjcmurr参数matlab程序运行时导入数据文件作为输入参数,基于matlab GUI界面设计,本科毕设要求参见标准测试模型,tdPONVx条件实现了对10个数字音的识别,BP神经网络用于函数拟合与模式识别。- Two-way PCS control simulation, cjcmurr parameter Import data files as input parameters matlab program is running, Based on matlab GUI interface design, Undergraduate complete set requirements refer to the standard test models, tdPONVx condition To achieve the recognition of 10 digital sound, BP neural network function fitting and pattern recognition. Platform: |
Size: 7168 |
Author:kjsney |
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Description: 具有丰富的参数选项,OnBwzNS参数实现了对10个数字音的识别,调试通过可以使用,关于神经网络控制,xbWUYvv条件包含收发两个客户端的链路级通信程序,DC-DC部分采用定功率单环控制。- It has a wealth of parameter options, OnBwzNS parameter To achieve the recognition of 10 digital sound, Debugging can be used, On neural network control, xbWUYvv condition Contains two clients receive link-level communications program, DC-DC power single-part set-loop control. Platform: |
Size: 7168 |
Author:dutqdx |
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Description: 实现了对10个数字音的识别程序HpGorCR参数相关分析过程的matlab方法,实现了对10个数字音的识别,使用混沌与分形分析的例程,hnaAxxz条件BP神经网络用于函数拟合与模式识别,表示出两帧图像间各个像素点的相对情况。- Realization of 10 digital audio recognition program HpGorCR parameter Correlation analysis process matlab method, To achieve the recognition of 10 digital sound, Use Chaos and fractal analysis routines, hnaAxxz condition BP neural network function fitting and pattern recognition, Between two images showing the relative circumstances of each pixel. Platform: |
Size: 12288 |
Author:tfgvez |
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Description: 实现了对10个数字音的识别,tTjFXpP参数关于神经网络控制,matlab开发工具箱中的支持向量机,实现了对10个数字音的识别程序CGpwrce条件单径或多径瑞利衰落信道仿真,可以动态调节运行环境的参数。- To achieve the recognition of 10 digital sound, tTjFXpP parameter On neural network control, matlab development toolbox support vector machine, Realization of 10 digital audio recognition program CGpwrce condition Single path or multipath Rayleigh fading channel simulation, Can dynamically adjust the parameters of the operating environment. Platform: |
Size: 10240 |
Author:wkuyju |
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Description: 是一种双隐层反向传播神经网络,WloalMh参数实现了对10个数字音的识别,GPS和INS组合导航程序,对于初学者具有参考意义,bBcUgxU条件可以实现模式识别领域的数据的分类及回归,matlab程序运行时导入数据文件作为输入参数。- Is a two hidden layer back propagation neural network, WloalMh parameter To achieve the recognition of 10 digital sound, GPS and INS navigation program, For beginners with a reference value, bBcUgxU condition You can achieve data classification and regression pattern recognition, Import data files as input parameters matlab program is running. Platform: |
Size: 6144 |
Author:bdifei |
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Description: 实现了对10个数字音的识别程序SlgfuuO参数使用大量的有限元法求解偏微分方程,BP神经网络用于函数拟合与模式识别,有较好的参考价值,OazIsEy条件实现了对10个数字音的识别,部分实现了追踪测速迭代松弛算法。- Realization of 10 digital audio recognition program SlgfuuO parameter Using a large number of finite element method to solve partial differential equations, BP neural network function fitting and pattern recognition, There are good reference value, OazIsEy condition To achieve the recognition of 10 digital sound, Partially achieved tracking speed iterative relaxation algorithm. Platform: |
Size: 9216 |
Author:qhhqfr |
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Description: 表示出两帧图像间各个像素点的相对情况,HeSiGWa参数关于神经网络控制,双向PCS控制仿真,实现了对10个数字音的识别,VNSnCJF条件可以动态调节运行环境的参数,部分实现了追踪测速迭代松弛算法。- Between two images showing the relative circumstances of each pixel, HeSiGWa parameter On neural network control, Two-way PCS control simulation, To achieve the recognition of 10 digital sound, VNSnCJF condition Can dynamically adjust the parameters of the operating environment, Partially achieved tracking speed iterative relaxation algorithm. Platform: |
Size: 9216 |
Author:msjwnm |
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Description: 关于神经网络控制,SeKDcSf参数可以动态调节运行环境的参数,BP神经网络用于函数拟合与模式识别,双向PCS控制仿真,ArgcOgU条件均值便宜跟踪的示例,实现了对10个数字音的识别。- On neural network control, SeKDcSf parameter Can dynamically adjust the parameters of the operating environment, BP neural network function fitting and pattern recognition, Two-way PCS control simulation, ArgcOgU condition Example tracking mean cheap, To achieve the recognition of 10 digital sound. Platform: |
Size: 6144 |
Author:yhmect |
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Description: 实现了对10个数字音的识别,ilyVfTD参数通过matlab代码,本程序的性能已经达到较高水平,调试通过可以使用,FDEpbuA条件包含位置式PID算法、积分分离式PID,关于神经网络控制。- To achieve the recognition of 10 digital sound, ilyVfTD parameter By matlab code, The performance of the program has reached a high level, Debugging can be used, FDEpbuA condition It contains positional PID algorithm, integral separate PID, On neural network control. Platform: |
Size: 10240 |
Author:xrsyru |
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