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Title: Artificial Neural Network Systems
Page Link: Artificial Neural Network Systems -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 02:02:44 AM
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Artificial Neural Network (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 work ....etc

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Title: Computerized Paper Evaluation using Neural Network
Page Link: Computerized Paper Evaluation using Neural Network -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 12:59:41 PM
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Definition
This paper addresses the issue of exam paper evaluation using neural network. This paper foresees the possibility of using adaptive real time learning through computers viz. the student is made to feed his answers in a restricted format to the computer to the questions it puts up and the answers are evaluated instantaneously. This is accomplished by connecting the computers to a Knowledge Server. This server has actually connections to various authenticated servers (encyclopedias) that contain valid information about all the subject ....etc

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Title: Cellular Neural Network CNN
Page Link: Cellular Neural Network CNN -
Posted By: computer science crazy
Created at: Sunday 21st of September 2008 02:16:45 PM
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Definition

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 Boo ....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: Digit Recognition using Neural Network
Page Link: Digit Recognition using Neural Network -
Posted By: seminar projects crazy
Created at: Wednesday 28th of January 2009 04:09:41 PM
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Handwritten digit recognition is the process of recognizing and classifying handwritten digits without human interaction. Its application field is very wide, for example Postal code recognition (Automatic sorting of mail by destination ZIP code), Digitizing hand written spreadsheets, tax forms etc. Patterns slightly shifted, distorted and even overwritten can be correctly recognized. Neural network aids in efficient recognition. A Multilayer Neural network trained with ?Backpropagation ?algorithm is used. Kirsch masks are adopted for extracting ....etc

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Title: Artificial Neural Network ANN
Page Link: Artificial Neural Network ANN -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 12:30:39 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: matlab code for image compression using backpropagation
Page Link: matlab code for image compression using backpropagation -
Posted By:
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: Cellular Neural Network CNN
Page Link: Cellular Neural Network CNN -
Posted By: computer science crazy
Created at: Tuesday 23rd of September 2008 03:45:05 AM
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Definition

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 Boo ....etc

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Title: Artificial Neural Network ANN
Page Link: Artificial Neural Network ANN -
Posted By: computer science crazy
Created at: Tuesday 23rd of September 2008 03:07:00 AM
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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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