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Page Name: NEURAL NETWORKS ITS APPLICATIONS


Posted by: project maker
Created at: Thursday 05th of April 2012 03:58:57 AM
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weights are changed depending on the magnitude of the error that the network produces at the output layer:


Applications of ARTIFICIAL NEURAL NETWORKS

Artificial Life: Galapagos

Galapagos is a fantastic and dangerous place where up and down have no meaning, where rivers of iridescent acid and high-energy laser mines are beautiful but deadly artifacts of some other time. Through spatially twisted puzzles and bewildering cyber-landscapes, the artificial creature called Mendel struggles to survive, and you must help him.

Mendel is a synthetic organism that can sense inf..................==> [ Click Here to Read More ]



Page Name: Seminar on artificial brain


Posted by: remyap
Created at: Monday 08th of November 2010 07:21:53 AM
Last Edited Or Replied at :Saturday 10th of March 2012 03:00:32 AM
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hai,
could you pls send me a seminars with power point presentation on Artificial brain.

Regards
Remya..................==> [ Click Here to Read More ]



Page Name: Voice recognition based on artificial neural networks


Posted by: fiyin.okunlola@yahoo.com
Created at: Saturday 06th of February 2010 02:12:19 PM
Last Edited Or Replied at :Saturday 06th of February 2010 08:56:04 PM
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i want to know the procedure in building a device that has voice recognition, the circuit diagram,, components needed for this..................==> [ Click Here to Read More ]



Page Name: artificial neural network seminar report


Posted by: electronics seminar guru
Created at: Tuesday 05th of January 2010 05:09:09 AM
Last Edited Or Replied at :Friday 09th of November 2012 11:13:25 PM
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tion of a particular learning algorithm depends on the network and network topology. As MLNN with EBP is most extensively used and widely accepted network for process application, namely for identification and control of the process.

3.1 MLNN IN SYSTEM IDENTIFICATION:

There has been anexplosion of neural network application in the areas of process control engineering in the last few years.since it become very difficult to obtain the model of complex non-linear system due its unknown dynamics and a noise environment.it necessitates the requirement for a non classic technique which has t..................==> [ Click Here to Read More ]



Page Name: Author is a network-based project


Posted by: seminar projects expert
Created at: Friday 14th of August 2009 05:13:47 AM
Last Edited Or Replied at :Friday 14th of August 2009 05:13:47 AM
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ifficulties implementing authentication. The main components are Master Controller (server), Access Controller (client) and a Central Database.A Master controller is designed to interconnect with Access controller through socket programming and with a central database via Internet. The Access Controller provides facility for employees to logic and logos using employee ID.

In this application Access Controller lies in a compact device. Access Controller can communicate with the Master Controller through service. A Central Database at the head holds the information about all employees workin..................==> [ Click Here to Read More ]



Page Name: Artificial Neural Networks Download Seminar Report


Posted by: Computer Science Professor
Created at: Thursday 30th of July 2009 06:59:34 AM
Last Edited Or Replied at :Friday 20th of April 2012 03:29:23 AM
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elp of a MLP model, we proceed to next session: resemblance with brain where in the comparison between brain and neural networks as well as neurons and perceptrons are made with the help of figures. The most basic component of a neural network is the perceptron, which is called the artificial neuron, is studied and depicted in the Structure of a Neural Network section which is followed by architecture. The most important concept of the neural networks are its wide range of its applications, a few of which will be dealt in the consequent sections and then its limitations. The main question o..................==> [ Click Here to Read More ]



Page Name: FACE RECOGNITION USING NEURAL NETWORKS Download Seminar Report


Posted by: Computer Science Professor
Created at: Thursday 30th of July 2009 06:55:46 AM
Last Edited Or Replied at :Thursday 17th of January 2013 11:44:35 PM
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ognition of images using neural networks. It is used in identifying particular people in real time or allows access to a group of people and denies access to the rest.

The system combines local image sampling, the self-organizing map neural network, and a convolutional neural network. The self-organizing map provides the quantization of image samples into a topological space where inputs that are nearby in the original space are also in the output space, thereby providing dimensionality reduction and invariance to minor changes in the image sample. All these features are implemented using ..................==> [ Click Here to Read More ]



Page Name: Neural Networks Download Full Seminar Report


Posted by: computer science crazy
Created at: Thursday 09th of April 2009 02:31:28 AM
Last Edited Or Replied at :Thursday 09th of April 2009 02:31:28 AM
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The power and speed of modern digital computers is truly astounding. No human can ever hope to compute a million operations a second. However, there are some tasks for which even the most powerful computers cannot compete with the human brain, perhaps not even with the intelligence of an earthworm. Imagine the power of the machine which has the abilities of both computers and humans. It would be the most remarkable thing ever. And all humans can live happily ever after (or will they?). Before discussing the specifics of artificial neural nets though, let us examine what makes real neural nets ..................==> [ Click Here to Read More ]



Page Name: 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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stems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well.



Historical background
Neural network simulations appear to be a recent development. However, this field was established before the advent of computers, 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 compl..................==> [ Click Here to Read More ]



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