Speech Recognition using Neural Networks

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• Face Recognition Demo using Neural Networks免费下载

  资源简介：Face Recognition Demo using Neural Networks

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• 04 calgary PhD INSGPS Integration Using Neural Networks for Land Vehicular Navigation Applications.p免费下载

  资源简介：资料->【E】光盘论文->【E1】斯坦福博士论文->04 calgary PhD INSGPS Integration Using Neural Networks for Land Vehicular Navigation Applications.pdf

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  上传时间： 2013-04-24

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• 开发环境:C++ 简要说明:这程序是《神经网络模式识别及其实现》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya免费下载

  资源简介：开发环境:C++ 简要说明:这程序是《神经网络模式识别及其实现》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著电子工业出版社1999年6月，书号ISBN 7-5053-5088-9的第九章<神经联想记忆和Hopfield网络>附的程序。

  标签： S. Recognition Networks Pattern

  上传时间： 2013-12-26

  上传用户：lanhuaying

• 这程序是《神经网络模式识别及其实现》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著电子工业出版社1999年6免费下载

  资源简介：这程序是《神经网络模式识别及其实现》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著电子工业出版社1999年6月 书号ISBN 7-5053-5088-9

  标签： S. Recognition Networks Pattern

  上传时间： 2014-01-01

  上传用户：Miyuki

• nonlinear system identification using Neural Networks on matlab免费下载

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• Using Radial Basis Probabilistic Neural Network for Speech Recognition免费下载

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• Single-layer Neural Networks can be trained using various learning algorithms. The best-known algori免费下载

  资源简介：Single-layer Neural Networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer Neural N...

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• 《Neural Networks for vice Recognition》神经网络用于语音识别的英文资料免费下载

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• 书籍“Regularization tools for training large feed-forward Neural Networks using Automatic Differentiat免费下载

  资源简介：书籍“Regularization tools for training large feed-forward Neural Networks using Automatic Differentiation”的源码文件

  标签： Regularization Differentiat feed-forward Automatic

  上传时间： 2013-11-29

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• Isolated Speech Recognition Process that using the Linux to run the program免费下载

  资源简介：Isolated Speech Recognition Process that using the Linux to run the program

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• Neural Networks at your Fingertips.rar =============== Network: Adaline Network ==============免费下载

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• Kalman Filtering and Neural Networks免费下载

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• Neural Networks : an introduction / B. Muller, J.Reinhardt. 此书的配套软盘免费下载

  资源简介：Neural Networks : an introduction / B. Muller, J.Reinhardt. 此书的配套软盘

  标签： B. introduction Reinhardt Networks

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• 《M-files for "Neural Networks"》神经网络的一些MATLAB源程序免费下载

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• Back propagation Neural Networks and its Application: Time-Series Forecasting Prediction of the Annu免费下载

  资源简介：Back propagation Neural Networks and its Application: Time-Series Forecasting Prediction of the Annual Number of Sunspots

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• 高级人工神经网络<Advanced Algorithms For Neural Networks>的随书程序免费下载

  资源简介：高级人工神经网络<Advanced Algorithms For Neural Networks>的随书程序

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• This demo nstrates the use of the reversible jump MCMC simulated annealing for Neural Networks. This免费下载

  资源简介：This demo nstrates the use of the reversible jump MCMC simulated annealing for Neural Networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a...

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  资源简介：Accent issues in large vocabulary continuous Speech Recognition

  标签： Recognition continuous vocabulary Accent

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  上传用户：ghostparker

• Introduction to Neural Networks, Back Propagation Networks, Recurrent Networks, Self Oganising netwo免费下载

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  标签： Networks Introduction Propagation Oganising

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• Artificial Intelligence Neural Networks Algorithms Applications and Programming Techniques Addison W免费下载

  资源简介：Artificial Intelligence Neural Networks Algorithms Applications and Programming Techniques Addison Wesley，

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• C++ Neural Networks and Fuzzy Logic希望对大家有帮助。免费下载

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• Artificial Neural Networks,介绍原理免费下载

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• SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks Introduc免费下载

  资源简介：SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks Introduction Preliminaries SpikeLM algorithm Experimental validation Conclusions

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