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Title: biological early brain cancer detection using artificial neural network ppt
Page Link: biological early brain cancer detection using artificial neural network ppt -
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Created at: Tuesday 16th of October 2012 07:45:35 PM
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Title: rainfall runoff modelling using artificial neural network method ppt
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Created at: Thursday 22nd of January 2015 09:53:37 AM
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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: matlab code for weather forecasting using artificial neural network
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Created at: Monday 11th of March 2013 03:37:15 AM
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Title: CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORK
Page Link: CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORK -
Posted By: seminar class
Created at: Saturday 30th of April 2011 05:15:17 PM
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INTRODUCTION
One of the classical applications of Artificial Neural Network is Noisy Character Recognition. Character Recognition finds its applications in a number if area, such as in banking, security products, hospitals, evaluations of examination papers, answer sheets and even in robotics.
In this project we aim to design and implement a neural network for performing character recognition. Because of the great flexibility in MATLAB’s Neural Network Toolbox, we will be using it for the whole implementation.
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Title: DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING ARTIFICIAL NEURAL NETWORK
Page Link: DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING ARTIFICIAL NEURAL NETWORK -
Posted By: seminar addict
Created at: Tuesday 31st of January 2012 06:21:05 PM
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DIRECT TORQUE CONTROL OF INDUCTION MOTOR USING ARTIFICIAL NEURAL NETWORK


INTRODUCTION
A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships . In the broader sense, a neural network is a collection of mathematical models that emulate some of the observed properties of biological nervous systems and draw on the analogies of adaptive biological learning. It is composed of a large number of hi ....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 face recognition using artificial neural networks
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Created at: Saturday 18th of June 2016 02:45:17 PM
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matlab code for face recognition using artificial neural networks ?

I HAVE TO TRAIN AND TEST THE NEURAL NETWORK FOR FACE RECOGNITION.....
I HAVE EXTRACTED FEATURES USING PCA.....
THANKS
[email protected] ....etc

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Title: matlab code for training artificial neural network for diabetic retinopathy detection
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Created at: Wednesday 27th of February 2013 06:48:13 PM
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Title: Unicode OCR using Artificial Neural Network methods
Page Link: Unicode OCR using Artificial Neural Network methods -
Posted By: project topics
Created at: Thursday 22nd of April 2010 02:58:11 AM
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Unicode OCR using Artificial Neural Network methods

This project will recognizes typed latin optical characters and outputs the corresponding Unicode value and character. It is implemented using Artificial Neural Network methods and can be trained for any available font type.

The central objective of this project is demonstrating the capabilities of Artificial Neural Network implementations in recognizing extended sets of optical language symbols. The applications of this technique range from document digitizing and preservation to handw ....etc

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