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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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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..................[:=> 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 neural network for..................[:=> 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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y the back propagation method. The detailed description of the procedure is given in the next sections. Simulation results for a one machine infinite-bus system and one multimachine system are presented to show the effectiveness of the neuro fuzzy-logic in power system stabilizers...................[:=> 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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r is organized as a two dimensional grid. All interconnections go from the first layer to the second; the two layers are fully interconnected, as each input unit is connected to all of the units in the competitive layer shows this basic network structure.
When an input pattern is presented, each unit in the first layer takes on the value of the corresponding entry in the input pattern. The second layer units then sum their inputs and compete to find a single winning unit. The overall operation of the Kohonen network is similar to the competitive learning paradigm.
Each interconnection in t..................[:=> 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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ters, and has survived several eras. Many important advances have been boosted by the use of inexpensive computer emulations. The first artificial neuron was produced in 1943 by the neurophysiologist Warren McCulloch and the logician Walter Pitts.

Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. A trained neural network can be thought of as an expert in the category of information it has been given to analy..................[:=> 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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onnected 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 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 sophistic..................[:=> 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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llowing 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 computational techniques that try to obtain a performance similar to that of human?s performance when solving prob..................[:=> Show Contents <=:]



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