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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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ple input-single-output analog device. Which combines: (i) Local analog values into a single output. The local communication & control unit (i) receives the programming instructions, in each cell from the Global Analogic Programming Unit(GAPU) , namely 1. The analog values(A,B&z) 2. The logic local unit, and 3. The switch configuration of the cell specifying the signal paths &some settings in the functional units. We need an analog program register(APR)logic program register for the CNN templates, a Logic Program Register for LLU functions & a switch configuration register(S.................. [:=> 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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ural network is shown In this configuration, control systems attempted to make the plant output YP(t) to follow the reference model output asymptotically. The error signal Used to train the neural network controller is the difference between the model and the plant outputs, principally; this network works like the direct adaptive neural control system. 5. APPLICATIONS Applications Type of ANN control architecture Learning algorithm Remark Modeling of stirred tank system and interpretation of bloser sat data MLNN EBP Nonlinear Cart pendulum identification MLNN EBP Nonlinear Biomas an.................. [:=> 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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as a minimum number of component types (2) Provides stored programmability spatio temporal array computing (3) Is universal in two sense: As spatial logic, it is equivalent to a Turing machine and as a local logic it may compute any Boolean function. As a nonlinear dynamic operator, it can realize any local operator of fading memory. the CNN UM is a common computational paradigm for as diverse fields of spatio-temporal computing as for example, retinal model, reaction diffusion equations, mathematical morphology, etc. The stored program ,as a se.................. [:=> 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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ircuit breakers have the capability to go through a certain number of open-close sequences when
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circuit breaker goes into a lock-out state. Permanent non recoverable equipment faults may also lead
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cannot be used for automatic restoration and should be taken into account by the PSR scheme. .................. [:=> 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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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 trained knowledge in the training set . This is contrary to the repetitive process of transferring the load & esti.................. [:=> 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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rain and this presentation is an attempt to understand the basic concept of artificial neural
networks. 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.................. [:=> 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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tion 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/ARTIFICIAL-NE URAL-NETWORKS.pdf&name=ARTIFICIAL-NEURAL-NETWORKS.pdf.................. [:=> Show Contents <=:] |

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