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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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IMPLEMENTATION OF SIMPLICAL R.T.D. C.N.N.
The first block is responsible for vertex code generation, whereas the second block is responsible for producing the values of function at the vertices . Finally there is the interpolation state , which is the charge of producing the result
VERTEX CODE GENERATOR
The vertex code generator is the part of the circuit that receives as input the nine values {u1, u2, ¦u9}. Corresponding to the ..................[:=> 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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se of fuzzy logic is made along with neural control
Tracking control of DC motor Direct inverse control EBP Makes use of look up table for calculating the control actions
Mobile robot control Direct inverse control EBP It makes use the sensor data for decision purpose
Nonlinear air handling plant Predictive control EBP Nonlinear control
6. CONCLUSION
This paper presents the state of ANN in process control applications. The ability of MLNN to model arbitrary non linear process is used for the Identification and control of a complex process. Since the unknown Complex systems are online mode..................[:=> 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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ural Network is a revolutionary concept and an experimentally proven new computing paradigm for analog computers. Looking at the technological advancement in the last 50 years ; we see the first revolution which led to pc industry in 1980â„¢s, second revolution led to internet industry in 1990â„¢s cheap sensors & mems arrays in desired forms of artificial eyes, nose, ears etc. this third revolution owes due to C.N.N.This technology is implemented using CNN-UM and is also used in imageprocessing.It c..................[:=> 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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asible restoration plan to be used as a training pattern by the IRSs, certain operational constraints must be considered.
The various constraints considered are:

· Thermal limits of transmission lines
· Stability limits
· Number of lines used in the restoration plan
· Allowable over and under voltage
· Recognition of locked “out 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 system stability is a su..................[:=> 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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neura..................[:=> 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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configure 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 & estimating power loss in ..................[:=> 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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ons and then its limitations. The main question of interest to us would be What will be the future of Neural Networks, Will it survive or will it rule us?”This section leads us to a brief con..................[:=> 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
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ter 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 capability for generalization.

The most significant aspects of Neural Networks are that they allow the computer to learn and they have the potential for parallelism. This means that they allow the computer to solve multiple problems at a time.

Neural Networks can perform any..................[:=> Show Contents <=:]



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