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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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e assumptions in designing AI problems.
SUPERFAST AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK:
The reasons for adapting ANNs are as follows:
¢ Massive parallelism
¢ Distributive representation and computation
¢ Learning ability
¢ Adaptivity
¢ Inherent contextual information processing
¢ Fault tolerance
¢ Low energy consumption
BIOLOGICAL NEURON:
The concept of neuron in ANN structure is divided from biological
neurons. A neuron is special biological structure that process
information. The output area of the neuron is called axon through which
an impul..................[:=> 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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r (elastometer) was calibrated in terms of the pressure and time response. Thus the system with stepper motor used for applying specific amount of pressure along with the data acquisition and data input Output card could be used for acquiring a tactile data. Programs were developed to scan and digitize individual tactels and store the tactile information in the form of a two dimensional array.

EXPERIMENTS ON OBJECT IDENTIFICATION WITH THE HELP OF ANN
After the calibration of the sensor and the system the experiments were performed on the objects like square, triangula..................[:=> 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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am ,as a sequence of templates is considered as a genetic code of CNN UM. The elementary genes are the templates.





THE ARCHITECTURE
The local analogic output unit is a multiple input-single-output analog device. Which combines:
(i) Local analog values into a single output. The local communication & control unit (i) receives th..................[:=> 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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or 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..................[:=> 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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uman brain enable it to analyze complex patterns consisting of a number of elements, those individually reveal little of the total pattern, yet collectively represent easily recognizable objects. The concepts of Neural Networks have been motivated right from its inception, by the recognition that the human brain computes in an entirely different way from the conventional digital computers. The brain modeling techniques opens a new era of Computer System that learns, from experience and uses its experiential knowledge next time. This biologically inspired method is being touted as the wave of t..................[:=> 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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rst, let™s decide what a ˜robot™ is. To be a robot, it should have the ability to think “ make decisions. This may sound hard

IF FRONT LEFT WHISKER SENSOR IS ON THEN

STOP, GO BACKWARDS 2 FEET, TURN RIGHT, CONTINUE.

This is a very common ËœIF-THENâ„¢ statement.

A machine that can perform this instruction is truly a robot. So, the conclusion is that to be called a robot; you really need an on-board brain and a way to program it.

Classification of ROBOTS:
Robot like devices:
Prostheses
Exoskeletons
Telecherics
Locomotive mechanism
Classification b..................[:=> 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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F0000]Cellular Neural Network

Cellular Neural 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 1980's, second revolution led to internet industry in 1990'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 can also implement any Boole..................[:=> 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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to improve yield, reduce wastage, eliminate toxins and above all increase profits makes it essential to increase the efficiency of process operations. One possible approach for achieving this is through the improvement of existing process monitoring and control systems.Many process monitoring and control schemes are based upon a representation of the dynamic relationship between cause and effect variables. In such schemes, this representation is typically approximated using some form of linear dynamic model, such as finite impulse response (FIR), autoregressive with exogenous variable (ARX) an..................[:=> 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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on.

Numerical integration :
In this approach transient stability analysis if performed by simulation. For given operating 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 syst..................[:=> Show Contents <=:]



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