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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 recongition ..................[:=> 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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mputer can understand. These machines are totally predictable; if anything goes wrong is due to a software or hardware fault.
Neural networks and conventional algorithmic computers are not in competition but complement each other. There are tasks are more suited to an algorithmic approach like arithmetic operations and tasks that are more suited to neural networks. Even more, a large number of tasks, require systems that use a combination of the two approaches (normally a conventional computer is used to supervise the neural network) in order to perform at maximum efficiency.
These features..................[:=> 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 the project on CHARACTER RECOGNITION USING NN based ..................[:=> 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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een maximum fuel cost and maximum emission of each generator
¢ sort hi values in ascending order
¢ Form an array, m by adding Pi,max one by one from the lowest hi value unit
¢ Add the elements of mi one at a time, starting from the smallest hi unit until S m > PD
¢ The modified price penalty factor hpd is computed by interpolating the values of hi for last two units by satisfying the corresponding load demand.



Numerical example

¢ hi = ; hi =
¢ The corresponding maximum limits of generating units are
Pi,max = [180 ..................[:=> 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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s. At a time one neuron can be linked to as many as 10,000 others although links as high as hundred thousands are observed to exist. The typical human brain at birth is estimated to house one hundred billion plus neurons. Such a combination would yield a synaptic connection of 1015, which gives the brain its power in complex graphical computation.
The inspiration of this speed advantage of artificial machines, and parallel capability of the natural brain that motivated the effort to combine the two and enable performing complex ËœArtificial Intelligenceâ„¢ tasks believed to be impossibl..................[:=> 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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ith handwritten characters.

Hence the conventional programming methods of mapping symbol images into matrices, analyzing pixel and/or vector data and trying to decide which symbol corresponds to which character would yield little or no realistic results. Clearly the needed methodology will be one that can detect €Ëproximity€„¢ of graphic representations to known symbols and make decisions based on this proximity. To implement such proximity algorithms in the conventional programming one needs to write endless code, one for each type of possib..................[:=> 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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aracter 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 Characterâ„¢ recognition.
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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
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m articles written by two separate authors. The first is Dr. Yann LeCun, who was an independent discoverer of the basic back propagation algorithm. Dr. LeCun hosts an excellent site on his research into neural networks. In particular, you should view his Learning and Visual Perception section, which uses animated GIFs to show results of his research. The MNIST database (which provides the database of handwritten digits) was developed by him. I used two of his publications as primary source materials for much of my work, and I highly recommend reading his other publications too (they're poste..................[:=> Show Contents <=:]



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