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character recognition using neural network matlab code


Posted by:
Created at: Saturday 27th of October 2012 02:25:08 PM
Last Edited Or Replied at :Monday 29th of October 2012 07:17:03 AM
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i want matlab code for character r..................[:=> Show Contents <=:]



CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORK


Posted by: seminar class
Created at: Saturday 30th of April 2011 04:15:17 AM
Last Edited Or Replied at :Saturday 30th of April 2011 04:15:17 AM
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r five different noise levels).
3. The last part will deal with designing and creating a neural network in which we will focus on how parameter changes and data manipulation can influence our design.
USING MATLAB FOR CHARACTER RECOGNITION
The whole implementation can also be done even without using Neural Network Toolbox. We have explored Image processing toolbox and found the following functions extremely helpful for our work. Following figure shows the screenshot of the MATLAB command window.
%% Manual Cropping
1. img = imread('sample.bmp');
2. imshow(img)
3. imgGray = ..................[:=> Show Contents <=:]



CHARACTER RECOGNITION USING NN based on dotnet


Posted by: srinivasskc
Created at: Friday 02nd of July 2010 09:46:42 PM
Last Edited Or Replied at :Friday 02nd of July 2010 09:46:42 PM
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hi...
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Combined Economic and Emission Dispatch using RBF neural network


Posted by: computer science topics
Created at: Tuesday 22nd of June 2010 11:05:29 AM
Last Edited Or Replied at :Tuesday 22nd of June 2010 11:05:29 AM
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s
¢ 3GEN
¢ 6GEN
¢ 15GEN
¢ Conclusion




Introduction of work

¢ Formulating Combined economic and emission dispatch using RBF network
¢ comparing results using BPA network and conventional lambda technique



Combined Economic and Emission Dispatch

The multi-objective CEED problem is converted into single optimization problem by introducing price penalty factor, h
Minimize F = F + hpd* E
¢ The modified price penalty factor hpd, combines the emission with the normal fuel costs



Price Penalty Factor


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Implementation of Multilayered Perceptron in Optical Character Recognition using Supe


Posted by: seminar presentation
Created at: Friday 28th of May 2010 01:49:57 PM
Last Edited Or Replied at :Friday 28th of May 2010 01:49:57 PM
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atural brain that motivated the effort to combine the two and enable performing complex ËœArtificial Intelligenceâ„¢ tasks believed to be impossible in the pas..................[:=> Show Contents <=:]



Unicode OCR using Artificial Neural Network methods


Posted by: project topics
Created at: Wednesday 21st of April 2010 01:58:11 PM
Last Edited Or Replied at :Wednesday 21st of April 2010 01:58:11 PM
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output values in a number of iterations. The very nature of this particular model is that it will force the output to one of nearby values if a variation of input is fed to the network that it is not trained for, thus solving the proximity issue. Both concepts will be discussed in the introduction part of this report.

The project has employed the MLP technique mentioned and excellent results were obtained for a number of widely used font types. The technical approach followed in processing input images, detecting graphic symbols, analyzing and mapping the symbols and training the network fo..................[:=> Show Contents <=:]



Image Processing - Optical Character Recognition


Posted by: nit_cal
Created at: Friday 30th of October 2009 05:13:15 AM
Last Edited Or Replied at :Wednesday 09th of March 2011 02:48:36 AM
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Now the brain starts finding the closest matc..................[:=> Show Contents <=:]



Neural Networks for Handwritten character and Digits


Posted by: computer science crazy
Created at: Thursday 17th of September 2009 11:53:25 AM
Last Edited Or Replied at :Thursday 17th of September 2009 11:53:25 AM
Digits, character , Handwritten, Networks , Neural, handwritten character recognition using convolutional neural networks ,
l insights and explanations...................[:=> Show Contents <=:]



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