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## matlab code for functional link artificial neural networksPosted by: Created at: Tuesday 08th of January 2013 12:27:20 AM Last Edited Or Replied at :Friday 24th of October 2014 12:23:46 PM | powered by mybb physics help with energy ,
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i need to develop matlab code for functional link ann ..................[:=> Show Contents <=:] | |||

## image segmentation brain mri matlab code with neural networkPosted by: Created at: Friday 23rd of November 2012 02:15:40 AM Last Edited Or Replied at :Friday 23rd of November 2012 02:15:40 AM | brain image segmentation ,
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mage segmentation brain mri matlab code with neu..................[:=> Show Contents <=:] | |||

## wavelet neural network matlab code freePosted by: Created at: Thursday 11th of October 2012 03:16:03 AM Last Edited Or Replied at :Thursday 11th of October 2012 03:16:03 AM | wavelet neural network matlab code free ,
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kindly provide the code for wavelet ne..................[:=> Show Contents <=:] | |||

## ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC BASED POWER SYSTEM STABILIZERPosted by: project topics Created at: Friday 02nd of April 2010 01:26:39 AM Last Edited Or Replied at :Thursday 27th of February 2014 04:30:46 PM | artificial neural network software ,
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daptive power system stabilizer (PSS) is presented in this paper. The parameters of the fuzzy logic
based PSS are tuned by neural networks. The system is divided into two subsystems, a recursive least
square identifier with a variable forgetting factor for the generator and a fuzzy logic based
adaptive controller to damp oscillations. The effectiveness of the proposed PSS in increasing the
damping of local and inter area system; a two area 4 machine. The ANFIS PSS uses a zero
order Sugeno type fuzzy logic controller whose membership functions and consequences of also
tuned by the..................[:=> Show Contents <=:] | |||

## ARTIFICIAL NEURAL NETWORKS BASED DEVNAGRI NUMERAL RECOGNITIONPosted by: computer science technology Created at: Saturday 23rd of January 2010 01:47:06 AM Last Edited Or Replied at :Saturday 23rd of January 2010 01:47:06 AM | artificial neural networks lecture notes ,
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adding a small random number to the average value for the entries in the input patterns. A random process that makes each entry in the pattern vector uniformly distributed between 0 and 1 generates an example training set of the network in Figure 1 in this example each input pattern. And the input pattern is a vector with entries. As a result, the input patterns are uniformly spread over a dimensional hypercube. If =2, then the input patterns are uniformly spread over a square: such two dimensional input patterns will be used in our first example. In other examples and in actual applications.................. [:=> Show Contents <=:] | |||

## Neural Networks And Their ApplicationsPosted by: computer science crazy Created at: Sunday 21st of September 2008 11:28:39 PM Last Edited Or Replied at :Sunday 21st of September 2008 11:28:39 PM | an introduction to neural networks gurney,
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ive applications, such as: 1.Voice Recognition - Transcribing spoken words into ASCII text. 2.Target Recognition - Military application which uses video and/or infrared image data to determine if an enemy target is presen.................. [:=> Show Contents <=:] | |||

## Artificial Neural Network SystemsPosted by: computer science crazy Created at: Sunday 21st of September 2008 01:02:44 PM Last Edited Or Replied at :Sunday 21st of September 2008 01:02:44 PM | artificial neural network activation function ,
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(ANN) is a system loosely modeled on human brain. It tries to obtain a performance similar to that
of human?s performance while solving problems. As a computational system it is made up of a large
number of simple and highly interconnected processing elements which process information by its
dynamic state response to external inputs. Computational elements in ANN are non-linear and so the
results come out through non-linearity can be more accurate than other methods. These non-linear
computational elements will be working in unison to solve specific problems. ANN is configured for
specific app..................[:=> Show Contents <=:] | |||

## Artificial Neural Networks Based Power System RestorationPosted by: computer science crazy Created at: Saturday 20th of September 2008 11:20:04 PM Last Edited Or Replied at :Thursday 24th of January 2013 11:23:52 PM | Restoration,
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storation (PSR) has been a subject of study for many years. In recent years many techniques were
proposed to solve the limitations of predetermined restoration guidelines and procedures used by a
majority of system operators to restore a system following the occurrence of a wide area
disturbance. This paper discusses limitations encountered in some currently used PSR techniques and a proposed improvement based on Artificial Neural Networks (ANNs). This proposed scheme has been tested on a 162-bus transmission system and compared with a breadth search transmission system. The results in.................. [:=> Show Contents <=:] |

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