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## cellular neural networksPosted by: electronics seminars Created at: Monday 28th of December 2009 05:07:40 AM Last Edited Or Replied at :Monday 02nd of May 2011 03:07:21 AM | cellular neural networks ppt ,
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CIRCUIT MODEL OF CNN Voltage controlled current sources impliment various coupling terms. These transconductances can be easily constructed on CMOS integrated circuits CNN TEMPLATES EDGE DETECTION TEMPLATE Local rules 1. White pixel- white, independent of neighbours 2. Black pixel- white , if all nearest neighbours are black 3. Black pixel- black , if at least one nearest neighbour is white 4. Black, gray or white pixel-gray if nearest neighbours are gray DIGITAL HARDWARE A.................. [:=> Show Contents <=:] | |||

## artificial neural network seminar reportPosted by: electronics seminars Created at: Tuesday 05th of January 2010 05:09:09 AM Last Edited Or Replied at :Monday 06th of February 2012 12:22:33 AM | artificial neural networks applications,
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rk models is crucial, particularly, in-linear problem. The training data must contain process
input-output information over the entire operating range. In such experiment, the types of
manipulated variables used are very important. The traditional pseudo binary sequence (PRBS) is inadequate because the training data set contains most of its steady state information at only two levels, allowing only to fit linear model in over to overcome the problem with binary signal and to provide data points throughout the range of manipulated variables.The PRBS must be a multilevel sequence.This kind of m.................. [:=> Show Contents <=:] | |||

## cellular neural networksPosted by: electronics seminars Created at: Monday 28th of December 2009 05:07:40 AM Last Edited Or Replied at :Monday 02nd of May 2011 03:07:21 AM | cellular neural networks ppt ,
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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=1,2Â¦..M, j=12Â¦...N. A class -1 m*n standard CNN is defined by a m*n rectangular array of cells cij located at site (i,j) i= 1,2 Â¦Â¦.m ,j=1,2,Â¦.n is defined mathematically by (dXij/dt )= -Xij + ? A(I,j,k,l) Ykl + ?B(i,j,k,l) + Zij ELECTRONIC CIRCUIT MODEL OF CNN Voltage controlled current sources impliment various coupling terms. These transconductances can be easily constructed on CMOS integrated cir.................. [:=> Show Contents <=:] | |||

## ARTIFICIAL NEURAL NETWORK BASED POWER SYSTEM RESTORATOINPosted by: computer science crazy Created at: Monday 28th of December 2009 01:47:21 AM Last Edited Or Replied at :Monday 06th of February 2012 12:22:47 AM | RESTORATOIN,
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functional block diagram of an irs,
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ssion paths that will lead to the final configuration chosen by the second ANN. The SSP input vector
is composed of the final restoration island configuration generated by the second ANN of the IRS and
an energizing sequence database. The energizing sequence database of each IRS is composed of
transmission path sequences connecting island generators to island loads. The following figure
illustrates the functional block diagram of an IRS. The proposed restoration scheme will present a restoration plan to the EMS operator following the occurrence of a wide area disturbance. The powe.................. [:=> Show Contents <=:] | |||

## neural network application in power electronicsPosted by: shashimandya Created at: Wednesday 09th of December 2009 08:29:39 AM Last Edited Or Replied at :Friday 20th of January 2012 10:27:22 PM | neural network applications,
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## Neural NetworksPosted by: computer science crazy Created at: Thursday 03rd of September 2009 05:56:13 AM Last Edited Or Replied at :Thursday 03rd of September 2009 05:56:13 AM | neural networks graph ,
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tworks include the capacity to map the perplexed & extremely non - linear relationship between load
levels of zone and the system topologies, which is required for the feeder reconfiguration in
distribution systems. This study is intended to purpose the strategies to reconfigure the feeders by using artificial neural n/w s with the mapping ability. Artificial neural n/w's determine the appropriate system topology that reduces the power loss according to the variation of load pattern. The control strategy can be easily obtained on the basis of system topology which is provided by artificial .................. [:=> Show Contents <=:] | |||

## Artificial Neural Networks Download Seminar ReportPosted by: Computer Science Clay Created at: Thursday 30th of July 2009 06:59:34 AM Last Edited Or Replied at :Tuesday 13th of March 2012 01:57:40 AM | artificial neural networks activation functions ,
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## Artificial Neural Networks Download Seminar ReportPosted by: Computer Science Clay Created at: Thursday 30th of July 2009 06:52:40 AM Last Edited Or Replied at :Monday 06th of February 2012 12:22:26 AM | artificial neural networks activation functions,
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ediction, diagnosis, planning, monitoring, debugging, repair, instruction, control, categorization
and pattern recognition. Thus Neural Networks is an exponentially growing area of real- time
applications of the new era. .................. [:=> Show Contents <=:] |

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