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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 funct..................[:=> 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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## 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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## 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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ogic based adaptive 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 ..................[:=> 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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tured Vector Training and testing: The feature vector computed for different data sets are stored in a file. In the process of training, these features are applied to a SOM and the network is trained. In the training process, features for each digit from 0 to 9 are applied to SOM sequentially and the network is trained for number of iterations. After training, the resultant prototypes are used for fine-tuning. For the purpose of fine tuning type 1 learning vector quantization scheme is used, and resulted prototypes are used in the recognition process to test the performance of the network. .................. [:=> 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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e data to determine if an enemy target is present. 3.Medical Diagnosis - Assisting doctors with their diagnosis by analyzing the reported symptoms and/or image data such as MRIs or X-rays................... [:=> 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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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
applications such as data classification or pattern recognition through a learning process. Learning
involves adjustment of synaptic connections that exist between neurons. ANN can be simulated within
specialized hardware or sophisticated software. ANNs are implemented as software packages in
computer or bein..................[:=> 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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mined 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 indicate that, this is a feasible option that should be considered for real time applications. Artificial Neural Networks (ANNs) are computati.................. [:=> Show Contents <=:] |

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