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cellular neural networks


Posted 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
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RTDs (resonant tunneling diodes)
RTDs are nano electric quantum device is featuring high speed regims and small integration sizes and they can be designed to operate in nano /femto sizes leading to extreme low power designs. In addition they exhibit an intrinsic non linear behaviour which can be exploited in many diverse applications, for instance in frequency multiplier and parity generators the threshold logic gates multi gigahertz a-d converters, and multivalued logic applications including multivalued memory design among others.
A simplical partition is used to subd..................[:=> Show Contents <=:]



artificial neural network seminar report


Posted 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
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while dealing with non linear behavior of process.
2.2 PROCEDURES FOR ANN SYSTEM ENGINEERING
In realistic application the design of ANN system is complex, usually iterative and interactive task. Although it is impossible to provide an all inclusive algorithmic procedure, the following highly interrelated, skeletal steps reflect typical efforts and concerns. The plethora of possible ANN design parameters include:
The interconnection strategy/network topology/network structure.
Unit characteristics (may vary within the network and within subdivisions within the network such as layers).
T..................[:=> Show Contents <=:]



cellular neural networks


Posted 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
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PWL function f is a linear vector space. Every PWL function can be expressed as a linear combination
F= ‚¬ CiAi (u)
Ai(v-j)=1, if i=j

VERTEX - CODE GENERATION
The first step is to identify the simplex that contains the given input vector u.Notice here that there are n! different simplices in (3), and every simplex is identified by the coordinates of its n+ 1 vertex. This mechanism is based on the result,
U= ? B Vij


This mechanism can be realized using a mixed signal circuit architecture illustrated where an array of ..................[:=> Show Contents <=:]



ARTIFICIAL NEURAL NETWORK BASED POWER SYSTEM RESTORATOIN


Posted 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
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enerate a feasible operational condition. The input of this ANN will be a normalized vector composed of the forecast island restoration load provided by the first ANN of the respective IRS, three elements describing possible unavailable transmission paths(because of outages) for use in the restoration plan. The final element of each IRS is the SSP. The SSP will determine the energizing sequence of transmission 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 th..................[:=> Show Contents <=:]



neural network application in power electronics


Posted 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
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neural network ap..................[:=> Show Contents <=:]



Neural Networks


Posted 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
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load & estimating power loss in conventional algorithm.


ANN are designed to two groups:
1) The first group is to estimate the proper load data of each zone .
2)The second is to determine the appropriate system topology from input load level .


In addition, several programs with the training set builder are developed for the design the training & accuracy test of A.N.N.This paper will present the strategy of feeder reconfiguration to reduce power loss, by using A.N.N. The approach developed here is basically different from methods reviewed above on flow solution during search process..................[:=> Show Contents <=:]



Artificial Neural Networks Download Seminar Report


Posted 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
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erstand itself better by modeling it, and in the process create something new, so Neural computing is an attempt at modeling the workings of a brain 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 procee..................[:=> Show Contents <=:]



Artificial Neural Networks Download Seminar Report


Posted 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, artificial neural networks a tutorial , artificial neural networks applications, artificial neural networks ann , artificial neural networks by yegnanarayana, artificial neural networks by zurada , artificial neural networks books, artificial neural networks backpropagation , artificial neural networks by b yegnanarayana, artificial neural networks basics , artificial neural networks data mining, artificial neural networks definition , artificial neural networks c+, artificial neural network ann seminar , current seminar topic on datamining with neural network, artificiial neutral network seminar topic , artificial neural network seminar, topic for colloquium related to application of nural network in data mining , seminar presentation on artificial neural network, network , neural networks learning process free ppt downloads, seminar on artifical nureal networks , seminar topics on artificial neural networks free download, artificial neural network , download free ppt and report on artificial neural network, artificial neural network 2010 ppt , seminar report on artificial neural network, neural networks , neural network,
arallel, which communicate to each other using unidirectional connections.

Neural networks are distinguished from other computer and mathematical techniques by their design motivation. They are processing devices, that can be algorithms or actual hardware that are modeled after the functioning of human brain. Most Neural Networks have some sort of training rule whereby the weights of connections are adjusted on the basis of presented patterns. In other words, Neural Networks learn from examples, just like children learn to recognize dogs from examples of dogs and exhibit some structural cap..................[:=> Show Contents <=:]



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