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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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F = ? Ci*Bi In the circuit this operations is executed by the output capacitor, due to the fact that the fraction of time every function value ci=f(vi) is present at the output of the memory block is proportional to bi .Finally note that in general r<=n+1 is much smaller than q.In fact if n=9 r<=n+1=10 and q=29=512.From the point of view of a 3*3 sphere of influence C.N.N cell , this implies that even though the function has 29 parameters, its evaluation requires at most the implementation of linear combination of 10 terms . .................. [:=> 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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uts of the neurons, in the form of electric pulses is received by the cells at connections called
synapses. The synapses connect to the cell inputs, or dendrites and the single output pf the neuron
appears at the axon. An electric pulse is sent down the axon when the total input stimuli fro all of
the dendrites exceed a certain threshold. Artificial neural networks are made up of simplified individual models of the biological neuron that are connected together to form a network. Information is stored in the network in the form of weights or different connections strengths associated with syna.................. [:=> 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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ext-sensitive & moving scenes as well as applications requiring real time fusing of multiple
modalities such as multi spectral images involving infrared, long wave-infrared and polarized
lights. CONCLUSION Optical implementation is already emerging using molecular level optical memory & atomic & molecular level implementation of c.n.n. array as well as CNN-UM may become feasible. PDE based in modern image processing techniques are becoming most challenging & important for analogic c.n.n. computers. A major challenge yet not solved by any existing technology is to build analogic adapti.................. [:=> 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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er to generate a feasible restoration plan to be used as a training pattern by the IRSs, certain
operational constraints must be considered. The various constraints considered are: Ã‚Â· Thermal limits of transmission lines Ã‚Â· Stability limits Ã‚Â· Number of lines used in the restoration plan Ã‚Â· Allowable over and under voltage Ã‚Â· Recognition of locked â€œout circuit breakers The thermal rating of the normally designed transmission lines depends mainly on the voltage level at which they operate, the line length and reactance. Power syste.................. [:=> 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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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 neural networks. Artificial neural networks determine the most appropriate system topology according to the load pattern on the basis of trai.................. [:=> 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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rks. In this paper, a small but effective overall content of artificial neural networks is presented . .First,the history of Neural Networks which deals with the comparative study of how vast the Neural Networks have developed over the years is presented. Next, having known what exactly is a neural network with the help of a MLP model, we proceed to next session: resemblance with brain where in the comparison between brain and neural networks as well as neurons and perceptrons are made with the help of figures. The most basic component of a neural network is the perceptron, which is.................. [:=> Show Contents <=:] | |||

## 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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ging, repair, instruction, control, categorization and pattern recognition. Thus Neural Networks is
an exponentially growing area of real- time applications of the new era. http://www.seminarprojects.net/downloads/?file=/computer%20science%20and%20electronics/ARTIFI.................. [:=> Show Contents <=:] |

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