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AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEMS


Posted by: computer science technology
Created at: Sunday 24th of January 2010 06:39:12 AM
Last Edited Or Replied at :Monday 06th of February 2012 12:24:21 AM
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ion for
large systems
ARTIFICIAL INTELLIGENCE APPLIED TO FAULT DIAGONISIS AND POWER SYSTEM
RESTORATIONS:
AI is simply a way of making a computer think intelligently this
accomplished by studying how people think when they are trying to make
decisions and solve problems, breaking these thought processes down
into basic steps and designing a computer program that solves problems
using those some steps .AI thereby provides a simple , structured
approach to design complex decision making programs, human intelligence
is of complex function that scientists have only began t..................[:=> Show Contents <=:]



TACTILE SENSING SYSTEM USING ARTIFICIAL NEURAL NETWORKS full report


Posted by: computer science technology
Created at: Sunday 24th of January 2010 04:06:02 AM
Last Edited Or Replied at :Sunday 24th of January 2010 04:06:02 AM
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object once the training of the artificial neural network has been completed with the help of moment data file. In this way different types of objects were tested and it was concluded that system is intelligent enough to give best results for the identification of different types of objects and describing the object under consideration in many ways. For further analysis of the object the tactile data automatically passed to the different modules of the system.
CONCLUSION
This system is well suited for the classification of the object with the help of ANN and moments. ..................[:=> 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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alue belongs to interval (0,1). the function of second block is to produce the correct value ci whenever its code is present the output of the vertex code generator we use a standard 512 bits s-ram in which the parameters are quantized using 2 levels .
S-RAM APPROACH
In this case every parameter of the simplical p.w.l. function is represented with just 2 states. This allows an extremely versatile implementation due to the fact that the parameters can be stored in a digital s-ram indeed this block can be integrated using r.t.d. devices. Actually an r.t.d. hetero structure FET, SRAM, gaince..................[:=> Show Contents <=:]



Digit Recognition using Neural Network


Posted by: Electrical Fan
Created at: Saturday 14th of November 2009 05:33:37 AM
Last Edited Or Replied at :Thursday 19th of January 2012 10:33:35 PM
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shifted, distorted and even overwritten can be correctly recognized. Neural network aids in efficient recognition. A Multilayer Neural network trained with Backpropagation algorithm is used. Kirsch masks are adopted for extracting feature vectors and a multy layer clustered neural network is used for classifying numerals efficiently. The neural network will be trained with a database consisting of handwritten digits provided by writers of various ages with many different sizes and writing styles. Numerals poorly drawn or cannot be classified are rejected. A very high recognition rate, even ab..................[:=> Show Contents <=:]



Face Recognition Using Artificial Neural Networks


Posted by: nit_cal
Created at: Saturday 31st of October 2009 04:58:30 AM
Last Edited Or Replied at :Saturday 20th of April 2013 12:55:41 AM
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es opens a new era of Computer System that learns, from experience and uses its experiential knowledge next time. This biolo..................[:=> Show Contents <=:]



Emerging Trends In Robotics Downlaod Seminar Report


Posted by: Computer Science Clay
Created at: Thursday 30th of July 2009 06:46:58 AM
Last Edited Or Replied at :Thursday 30th of July 2009 06:46:58 AM
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is to understand not only the control systems used to stabilize the position, motion, and other forces of the robot, but also to allow robots to effectively work via sensors and actuators in dynamic environments.

The field of robotics has its origin in science fiction, the term ROBOT was derived from the English translation of a fantasy play written in Czecholosolvakia around 1920. It took another 40 years before the modern technology of industrial ROBOTS began. Today robots are highly automated mechanical manipulators controlled by computers.

First, letâ„¢s decide what a Ëœrobot..................[:=> Show Contents <=:]



Cellular Neural Network


Posted by: Computer Science Clay
Created at: Tuesday 24th of February 2009 12:56:26 PM
Last Edited Or Replied at :Sunday 21st of November 2010 10:46:10 PM
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ems 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 can also implement any Boolean functions.

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=1,2¦..M, j=12¦...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 ¦¦.m ,j=1,2,¦.n is defined mathematically by
(dXij/dt )= -Xij + A(I,j,k,l) Ykl + B..................[:=> Show Contents <=:]



Industrial Applications using Neural Networks


Posted by: computer science crazy
Created at: Monday 22nd of September 2008 12:08:04 AM
Last Edited Or Replied at :Thursday 05th of August 2010 12:43:13 PM
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n accuracy many research projects in recent years have focused on the use of neural networks as a tool for system identification.

As with linear models, ANNs provide a description of the relationship between cause and effect variables. The benefit ANNs offer over linear models is that they are capable of modelling nonlinear relationships. In fact studies have shown them to be capable of modelling any non-linear function to arbitrary accuracy. Although there exist many different ANN structures, they do possess some common features. They are generally composed of numerous processing elements..................[:=> Show Contents <=:]



Transient Stability Assessment using Neural Networks


Posted by: computer science crazy
Created at: Monday 22nd of September 2008 12:07:56 AM
Last Edited Or Replied at :Tuesday 19th of October 2010 05:02:49 AM
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erating condition and special and specified large disturbance a time solution obtained for the generator rotor angles, speeds, terminal voltages etc., by examining the swing curves, separation of one or more generators from the rest of the system indicating loss of synchronism is detected. Even for small power network and simple mathematical model possible this method is slow and cumbersome.

The second method of Lyapunov:
In this method, the integration off post fall system equation is replaced by stability criterion. The value of a suitably designed lyapunov function v is calculated at t..................[:=> Show Contents <=:]



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