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matlab code for functional link artificial neural networks


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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
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i need to develop matlab code for functional link ann ..................[:=> Show Contents <=:]



image segmentation brain mri matlab code with neural network


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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
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mage segmentation brain mri matlab code with neu..................[:=> Show Contents <=:]



wavelet neural network matlab code free


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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
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kindly provide the code for wavelet ne..................[:=> Show Contents <=:]



ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC BASED POWER SYSTEM STABILIZER


Posted 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
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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 RECOGNITION


Posted 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
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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 Applications


Posted 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
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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 Systems


Posted 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
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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 Restoration


Posted 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
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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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