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Title: CELLULAR NEURAL NETWORKS CNN
Page Link: CELLULAR NEURAL NETWORKS CNN -
Posted By: computer science crazy
Created at: Tuesday 24th of February 2009 03:47:35 AM
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Cellular Neural Network is a revolutionary concept and an experimentally proven new computing paradigm for analog computers. Looking at the technological advancement in the last 50 years ; we see the first revolution which led to pc industry in 1980â„¢s, second revolution led to internet industry in 1990â„¢s cheap sensors & mems arrays in desired forms of artificial eyes, nose, ears etc. this third revolution owes due to C.N.N.This technology is implemented using CNN-UM and is also used in imageprocessing.It can also implement any Boole ....etc

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Title: matlab code for image compression using backpropagation
Page Link: matlab code for image compression using backpropagation -
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Created at: Sunday 25th of November 2012 02:39:40 PM
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I am looking for a code for image compression using back propagation neural network ....etc

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Title: matlab code for image deblurring using backpropagation neural network
Page Link: matlab code for image deblurring using backpropagation neural network -
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Created at: Saturday 29th of December 2012 12:38:13 AM
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thank you........................................................................................................................................................................................................ ....etc

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Title: CELLULAR NEURAL NETWORKS CNN
Page Link: CELLULAR NEURAL NETWORKS CNN -
Posted By: seminar projects crazy
Created at: Friday 30th of January 2009 10:01:12 PM
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Cellular Neural Network is a revolutionary concept and an experimentally proven new computing paradigm for analog computers. Looking at the technological advancement in the last 50 years ; we see the first revolution which led to pc industry in 1980?s, second revolution led to internet industry in 1990?s cheap sensors & mems arrays in desired forms of artificial eyes, nose, ears etc. this third revolution owes due to C.N.N.This technology is implemented using CNN-UM and is also used in imageprocessing.It can also implement any Boolean functions ....etc

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Title: Artificial Neural Networks Based Power System Restoration
Page Link: Artificial Neural Networks Based Power System Restoration -
Posted By: computer science crazy
Created at: Sunday 21st of September 2008 12:20:04 PM
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Power System Restoration (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 compa ....etc

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Title: Transient Stability Assessment using Neural Networks
Page Link: Transient Stability Assessment using Neural Networks -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 01:07:56 PM
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A high degree of security for normal operation of larger inter connected power system is required one of the requirements of reliable service in electrical power system is to maintain the synchronous machines running in parallel with adequate capacity to meat the low demand with the growing stress on present days power systems, the potential impact of faults and other disturbances on their security is increasing. Protective relays in the power system detect faults and trigger the opening of circuit to isolate the fault. The power system can be ....etc

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Title: Neural Networks And Their Applications
Page Link: Neural Networks And Their Applications -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 12:28:39 PM
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Definition
An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, thr ....etc

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Title: Backpropagation Algorithm
Page Link: Backpropagation Algorithm -
Posted By: project uploader
Created at: Saturday 11th of February 2012 06:13:40 PM
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Backpropagation Algorithm
Basic Neuron Model In A Feedforward Network
Inputs xi arrive through pre-synaptic connections
Synaptic efficacy is modeled using real weights wi
The response of the neuron is a nonlinear function f of its weighted inputs
Differences In Networks
Feedforward Networks
Solutions are known
Weights are learned
Evolves in the weight space
Used for:
Prediction
Classification
Function approximation
Feedback Networks
Solutions are unknown
Weights are prescribed
Evolves in the state space
U ....etc

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Title: Neural Networks For Location Prediction In Mobile Networks
Page Link: Neural Networks For Location Prediction In Mobile Networks -
Posted By: seminar class
Created at: Friday 22nd of April 2011 01:33:36 PM
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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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Title: Industrial Applications using Neural Networks
Page Link: Industrial Applications using Neural Networks -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 01:08:04 PM
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INTRODUCTION
Process monitoring and control systems applications
The pressure on the Process Industries to improve yield, reduce wastage, eliminate toxins and above all increase profits makes it essential to increase the efficiency of process operations. One possible approach for achieving this is through the improvement of existing process monitoring and control systems.Many process monitoring and control schemes are based upon a representation of the dynamic relationship between cause and effect variables. In such schemes, this representati ....etc

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