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bp神经网络实现数据分类——基于语音信号的特征分类-bp neural network data classification- classification based on the characteristics of the speech signal
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BP神经网络的数据分类-语音特征信号分类-BP neural network data classification- voice feature signal classification
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BP神经网络的数据分类-语音特征信号分类-BP neural network data classification- voice feature signal classification
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matlab编程,采用BP神经网络对信号进行分析-Matlab programming, using BP neural network to analyze the signal
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解决了非线性函数的逼近问题,实现了BP神经网络在非线性函数逼近中的应用。得出了信号的频率与隐含点之间,隐含点与函数逼近能力之间的关系——隐含层神经元数目越多。-Solved the problem of nonlinear function approximation, and realized the application of the BP neural network in nonlinear function approximation. Between signal frequenc
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BP neural network for classification of data-voice signal classification
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matlab用bp神经网络分类信号,采用多层感知器的神经网络,有隐含层5个节点-matlab bp neural network classification signal, the use of Multilayer Perceptron neural network hidden layer nodes
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BP神经网络用与实现不同故障的分类,对复杂信号模式识别是一种很有效的方法。-BP neural network with the classification of different faults and implementation of complex signal pattern recognition is a very effective method.
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《人工神经网络与模糊信号处理.pdf》,书中首先介绍人工神经网络和模糊理论的信号处理概要;其次作为神经网络的典型的例子介绍阶梯型及相互结合型的神经网络以及基于它们的信号处理,还介绍模糊推论和模糊信号处理等;最后示出神经网络与模糊信号处理的种种应用实例,介绍今后以高度智能化系统为目标的人工并列处理模型和智能信号处理等。
-" Artificial neural networks and fuzzy signal processing. Pdf" , the book intro
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在matlab中对大量的轴承故障的特征信号进行小波包分解,提取特征值,并建立神经网络训练,最终可由网络进行故障的分析-In matlab large number of bearing fault characteristic signal wavelet packet decomposition, extract characteristic values, and the establishment of neural network training, and ultimately by
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BP神经网络的数据分类-语音特征信号分类-BP neural network data classification- speech feature signal classification
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基于神经网络的FSK信号解调技术研究,希望那些对于神经网络有研究的人有帮助。-Based on Neural Network FSK signal demodulation techniques, hope that those who have studied the neural network to help people.
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基于svm的一维信号的回归预测,精确度优于传统的神经网络方法-The one-dimensional signal based svm regression prediction accuracy is better than traditional neural network method
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《MATLAB神经网络30个案例分析》中的第一个例子,案例1 BP神经网络的数据分类-语音特征信号分类。希望对大家有用!
-" MATLAB neural network 30 case studies" in the first example, case 1 BP neural network data classification- speech feature signal classification. I hope useful!
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BP神经网络的数据分类,语音信号的数据分类-BP neural network data classification, speech signal data classification
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利用线性神经网络进行自适应预测利用函数adapt对线性网络进行自适应训练,在线修正网络的权值和阈值,这样对于时变信号,网络就可以及时跟踪其变化,即可对时变信号序列进行预测。-linear adaptive neural network prediction using linear function adapt to the network adaptive training , the online network that the weights and thresholds, so for
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语音信号识别 BP神经网络的研究 只需要简答的修改就可以了-Speech signal recognition BP neural network research
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语音信号识别 BP神经网络的研究 只需要简答的修改就可以饿了-Speech signal recognition BP neural network research
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主要是利用BP神经网络来进行语音信号的分析,提取语音信号的MFCC参数进行分类-Mainly using BP neural network to carry voice signals analysis, MFCC parameter extraction of speech signal classification
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提取语音信号的MFCC参数进行语音信号的识别,利用神经网络,自带有训练样本和测试样本-Identification of MFCC parameters of speech signal extraction of speech signal, using neural network, with the training samples and test samples
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