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Optical Character Recognition Using Neural Networks


Posted by: smart paper boy
Created at: Tuesday 16th of August 2011 04:51:44 AM
Last Edited Or Replied at :Thursday 19th of January 2012 10:33:12 PM
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e this behavior in software, what we would be actually doing is creating artificial intelligence. This filed of artificial intelligence, which simulates the behavior of a biological neural network in order to perform intelligent tasks, is called artificial neural..................[:=> Show Contents <=:]



Face Recognition Using Artificial Neural Networks


Posted by: nit_cal
Created at: Saturday 31st of October 2009 04:58:30 AM
Last Edited Or Replied at :Saturday 20th of April 2013 12:55:41 AM
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many signal-processing applications like sound, image processing

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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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ptical 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 signal from the standard library as the final result. For humans character recog..................[:=> Show Contents <=:]



Neural Networks for Unicode Optical Character Recognition


Posted by: computer science crazy
Created at: Thursday 17th of September 2009 11:57:50 AM
Last Edited Or Replied at :Thursday 20th of October 2011 11:29:03 PM
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rity 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 one that can detect Ëœproximityâ„¢ 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 possible ir..................[:=> Show Contents <=:]



Emerging Trends In Robotics Downlaod Seminar Report


Posted by: Computer Science Clay
Created at: Thursday 30th of July 2009 06:46:58 AM
Last Edited Or Replied at :Thursday 30th of July 2009 06:46:58 AM
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by control method:
Non-servo controlled robots
Servo controlled robots
Point-to-point servo controlled robots


http://www.seminarprojects.net/downloads/?file=/computer%20science%20and%20electronics/EMERGING-TREN DS-IN-ROBOTICS.pdf&name=EMERGING-TRENDS-IN-ROBOTICS.pdf
Continuous-..................[:=> Show Contents <=:]



Cellular Neural Network


Posted by: Computer Science Clay
Created at: Tuesday 24th of February 2009 12:56:26 PM
Last Edited Or Replied at :Sunday 21st of November 2010 10:46:10 PM
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ARCHITECTURE OF CNN

A standard CNN architecture consists of an m*n rectangular array of cells c(i,j) with Cartesian coordinates (i,j) i=1,2¦..M, j=12¦...N.

A class -1 m*n standard CNN is defined by a m*n r..................[:=> Show Contents <=:]



Industrial Applications using Neural Networks


Posted by: computer science crazy
Created at: Monday 22nd of September 2008 12:08:04 AM
Last Edited Or Replied at :Thursday 05th of August 2010 12:43:13 PM
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where input information is presented to the network, one or more hidden layers where neuron processing takes place and an output layer from which the network outputs are obtained. It is termed a feed forward network because the outputs from one layer are fed forward as inputs to the subsequent layer. The topology of such layered networks is usually described according to the number of nodes in each layer. For example, a network with 2 inputs, 1 hidden layer with 4 nodes and 1 output is referred to as a 2-4-1 network. This basic feedforward network is useful for many applications, however, a n..................[:=> Show Contents <=:]



Transient Stability Assessment using Neural Networks


Posted by: computer science crazy
Created at: Monday 22nd of September 2008 12:07:56 AM
Last Edited Or Replied at :Tuesday 19th of October 2010 05:02:49 AM
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curity for normal operation of larger inter connected power system is required one of the requirements of reliable service in electrical power system is to maintain the synchronous machines running in parallel with adequate capacity to meat the low demand with the growing stress on present days power systems, the potential impact of faults and other disturbances on their security is increasing. Protective relays in the power system detect faults and trigger the opening of circuit to isolate the fault. The power system can be considered to go through changes in configuration in three stages, fr..................[:=> Show Contents <=:]



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