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Title: seminar report of neural network based handwritten character recognition without fea
Page Link: seminar report of neural network based handwritten character recognition without fea -
Posted By: venkataramana
Created at: Thursday 05th of October 2017 05:33:13 AM
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Title: Neural Networks for Handwritten character and Digits
Page Link: Neural Networks for Handwritten character and Digits -
Posted By: ankitsaxena88
Created at: Thursday 17th of August 2017 05:22:38 AM
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Neural Networks for Handwritten character and Digits
Abstract: This article chronicles the development of an artificial neural network designed to recognize handwritten digits. Although some theory of neural networks is given here, it would be better if you already understood some neural network concepts, like neurons, layers, weights, and back propagation. The neural network described here is not a general-purpose neural network, and it's not some kind of a neural network workbench. Rather, we will focus on one very specific neural network (a ....etc

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Title: seminars report of neural network based handwritten character recognition without fe
Page Link: seminars report of neural network based handwritten character recognition without fe -
Posted By: vipinqw
Created at: Thursday 05th of October 2017 04:24:07 AM
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Title: handwritten hindi character recognition using matlab with source code
Page Link: handwritten hindi character recognition using matlab with source code -
Posted By: adwaitpatra
Created at: Thursday 17th of August 2017 06:37:57 AM
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Description
Speaker Recognition System V3 : Simple and Effective Source Code For for Speaker Identification Based On Neural Networks . See More : http://matlab-recognition-codespeaker-recognition-biometric-system-matlab-code/
- Speaker recognition based on Neural Networks
- High recognition rate
- Text-independent
- Fully customizable
- Easy c/c++ implementation
- Sampling frequency-independent
- Easy and intuitive GUI ....etc

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Title: source code of segmentation of arabic handwritten words in matlab
Page Link: source code of segmentation of arabic handwritten words in matlab -
Posted By: karanpatil1989
Created at: Friday 06th of October 2017 02:56:49 PM
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The parser assumes precisely the tokenization of Arabic used in the Penn Arabic Treebank (ATB). You must provide input to the parser that is tokenized in this way or the resulting parses will be terrible. We do now have a software component for segmenting Arabic,but you have to download and run it first; it isn't included in the parser (see at the end of this answer). The Arabic parser simply uses a whitespace tokenizer. As far as we are aware, ATB tokenization has only an extensional definition; it isn't written down anywhere. Segmentation is ....etc

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Title: matlab code for handwritten english character recognition using neural network
Page Link: matlab code for handwritten english character recognition using neural network -
Posted By: tauseefmd
Created at: Thursday 17th of August 2017 04:46:35 AM
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To get full information or details of handwritten english character recognition using neural network please have a look on the pages

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Title: neural network source code arabic character recognition free download
Page Link: neural network source code arabic character recognition free download -
Posted By: adwaitpatra
Created at: Thursday 17th of August 2017 05:57:49 AM
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Title: arabic handwriting recognition source code matlab
Page Link: arabic handwriting recognition source code matlab -
Posted By: pravinkurhade
Created at: Thursday 05th of October 2017 05:18:21 AM
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please, can i have matlab source code for the topic : arabic off line handwritten word recognition and the different methods of pre-processing methods in this field? ....etc

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Title: Handwritten Character recognisation
Page Link: Handwritten Character recognisation -
Posted By: venkateswrar reddy
Created at: Thursday 17th of August 2017 05:12:50 AM
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Title: handwritten character recognition source code
Page Link: handwritten character recognition source code -
Posted By: kamlesh4U
Created at: Thursday 17th of August 2017 06:17:43 AM
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