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character recognition using neural network matlab code


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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 recon..................[:=> 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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les the training is called the training set. During the training of a network the same set of data is processed many times as the connection weights are ever refined.
The current commercial network development packages provide tools to monitor how well an artificial neural network is converging on the ability to predict the right answer. These tools allow the training process to go on for days, stopping only when the system reaches some statistically desired point, or accuracy. However, some networks never learn. This could be because the input data does not contain the specific information..................[:=> 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...
can any one provide th..................[:=> Show Contents <=:]



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 for Real-Time Power Dispatch
by Chao-Ming Huang and Fu-Lu Wang
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 22, NO. 1, FEBRUARY 2007
¢ R. Ramanathan, Emission constrained economic dispatch, IEEE Trans. Power Syst., vol. 9, no. 4, pp. 1994“2000, Nov. 1994.
¢ P. S. Kulkarni, A. G. Kothari, and D. P. Kothari, Combined economic and emission dispatch using improved backpropagation neural network, Elect. Mach. Power Syst., vol. 28, no. 1, pp. 31“44, Jan. 2000.
¢ P. S. Kulkarni, A. G. Kothari, and D. P. Kothari, Application of radial basis function neural network for econo..................[:=> Show Contents <=:]



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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undred thousands are observed to exist. The typical human brain at birth is estim..................[:=> 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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mentioned and excellent results were obtained for a n..................[:=> 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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udes color, depth, shape & size. These features are stored in the part of the memory. Now the brain starts finding the closest match for these extracted features in the whole collection of objects, which is already stored in it. This we can refer as standard library. When it finds the match then it gives the matched object or signal from the standard library as the final result. For humans character recognition seems to be simple task but to make a computer analyze and finally correctly recognize a character is a difficult task. Here we are basically dealing with the â„¢Upper Case Characte..................[:=> 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 ,
s 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 five-layer convolution neural network) built for one very specific purpose (to recognize handwritten digits).
The idea of using neural..................[:=> Show Contents <=:]



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