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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 ..................[:=> 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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nd and know how to solve. But computers would be so much more useful if they could do things that we don't exactly know how to do.
Neural networks process information in a similar way the human brain does. The network is composed of a large number of highly interconnected processing elements(neurones) working in parallel to solve a specific problem. Neural networks learn by example. They cannot be programmed to perform a specific task. The examples must be selected carefully otherwise useful time is wasted or even worse the network might be functioning incorrectly. The disadvantage is that b..................[:=> 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 RE..................[:=> 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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ned Economic and Emission Dispatch using RBF neural network

Under the guidance of
Dr. N. Subrahmanyam
Presented by
B. Shiva Kumar

Topics

¢ Introduction
¢ CEED
¢ RBF
¢ Algorithms
¢ OVERALL PROCESS DESCRIPTION
¢ CEED USING LAMBDA TECHNIQUE
¢ CLUSTERING TECHNIQUE
¢ CEED USING RBF
¢ Case studies
¢ 3GEN
¢ 6GEN
¢ 15GEN
¢ Conclusion




Introduction of work

¢ Formulating Combined economic and emission dispatch using RBF network
¢ comparing r..................[:=> 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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icular area derives its basis from the way neurons interact and function in the natural animal brain, especially humans. The animal brain is known to operate in massively parallel manner in recognition, reasoning, reaction and damage recovery. All these seemingly sophisticated undertakings are now understood to be attributed to aggregations of very simple algorithms of pattern storage and retrieval. Neurons in the brain communicate with one another across special electrochemical links known as synapses. At a time one neuron can be linked to as many as 10,000 others although links as high as hu..................[:=> 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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in handheld devices.

The classic difficulty of being able to correctly recognize even typed optical language symbols is the complex irregularity among pictorial representations of the same character due to variations in fonts, styles and size. This irregularity undoubtedly widens when one deals with 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 on..................[:=> 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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d to be a favorite topic in the IT industry. One of its major applications is Optical Character Recognition (OCR). When the object to be matched is presented then our brains or in general recognition system starts extracting the important features of the object that includes 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 s..................[:=> 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
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od 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 networks for the purpose of recognizing handwritten digits is not a new one. The inspiration for the architecture described here comes from articles written by two separate authors. The fi..................[:=> Show Contents <=:]



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