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Title: Voice recognition based on artificial neural networks
Page Link: Voice recognition based on artificial neural networks -
Posted By: danybabu2004
Created at: Thursday 05th of October 2017 03:43:47 AM
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please read this tutorial
http://cslu.ogi.edu/tutordemos/nnet_training/tutorial.html
http://neuralnetworks.it/neuralnetspeaker.asp
http://webfea-lb.fea.aub.edu.lb/dsaf/Publications/IMCL114.pdf

i hope this will help you .. ....etc

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Title: matlab source code for two neural networks for license number plates recognition
Page Link: matlab source code for two neural networks for license number plates recognition -
Posted By: manoj.pce118
Created at: Thursday 17th of August 2017 05:22:09 AM
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Automatic number plate recognition (ANPR; see also other names below) is a technology that uses optical character recognition on images to read vehicle registration plates. It can use existing closed-circuit television, road-rule enforcement cameras, or cameras specifically designed for the task. ....etc

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Title: Speech Recognition Using Neural Networks
Page Link: Speech Recognition Using Neural Networks -
Posted By: johnybabu
Created at: Friday 06th of October 2017 02:56:22 PM
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Abstract
One solution to the crime and illegalimmigration problem is the use of biometrics techniques and technology. Biometrics aremethods for recognizing a user based on uniquephysiological and/or behavioural characteristics ofthe user. This paper presents the results of an ongoingwork in using neural networks for voice recognition.

I. INTRODUCTION
Crime and illegal immigration has reached unprecedented levels. Although the gap betweenthe rich and the poor is the main cause of this crime, it isthe person in the middle who ends up paying ....etc

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Title: ARTIFICIAL NEURAL NETWORKS BASED DEVNAGRI NUMERAL RECOGNITION
Page Link: ARTIFICIAL NEURAL NETWORKS BASED DEVNAGRI NUMERAL RECOGNITION -
Posted By: m_k_sudhir
Created at: Thursday 05th of October 2017 05:26:20 AM
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ARTIFICIAL NEURAL NETWORKS BASED
DEVNAGRI NUMERAL RECOGNITION BY USING S.O.M
ABSTRACT:
In the present paper the proposed system is self organizing map method used to recognize the Devanagiri characters. The som is trained for hundred handwritten devangri characters. The som is trained for hundred hand written devanagari numerals. The Network was tested for different parameters such as o/p nodes, neighborhood size, no of cycle. The process of training was repeated for number of times.
INTRODUCTION:
We begin by consid ....etc

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Title: Artificial neural networks based Devnagri numeral recognitions by using SOM
Page Link: Artificial neural networks based Devnagri numeral recognitions by using SOM -
Posted By: divyam
Created at: Thursday 05th of October 2017 05:25:53 AM
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We begin by considering an Artificial neural n/w architecture in which every node is connected to every node and these connect as are either excitatory or inhibitory or irrelevant.


A single node is insufficient for many patricidal problems and large number of nodes is frequently used. The way nodes are connected determines how computations proceed and constitutes an important early design decision by a neural network developer. A brief discussion of biological neural networks is relevant, prior to examining artificial neural network arc ....etc

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Title: Face Recognition Using Artificial Neural Networks
Page Link: Face Recognition Using Artificial Neural Networks -
Posted By: ch.venkatesh
Created at: Friday 06th of October 2017 03:04:34 PM
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FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS

Artificial Neural Networks commonly referred to as Neural Networks is a new branch of AI, that enabled a crude simulation of the structure of human brain electronically or in software. The inherent properties of human brain enable it to analyze complex patterns consisting of a number of elements, those individually reveal little of the total pattern, yet collectively represent easily recognizable objects.

The concep ....etc

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Title: character recognition with neural kohonen networks matlab code
Page Link: character recognition with neural kohonen networks matlab code -
Posted By: harikrishnan130
Created at: Thursday 17th of August 2017 08:02:09 AM
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to get information about the topic character recognitionfull report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-character-recognition-using-artificial-neural-network ....etc

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Title: face recognition using artificial neural networks full project download
Page Link: face recognition using artificial neural networks full project download -
Posted By: sriramamilkanthwar
Created at: Thursday 17th of August 2017 04:55:53 AM
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to get information about the topic FACE RECOGNITION USING Neural Network full report ,ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-face-recognition-using-neural-network--7532

http://seminarsprojects.net/Thread-face-recognition-using-neural-networks-download-seminars-report

http://seminarsprojects.net/Thread-face-recognition-using-neural-networks-download-seminars-report?page=5

http://seminarsprojects.net/Thread-face-recognition-using-artificial-neural-networks

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Title: matlab code for face recognition using artificial neural networks
Page Link: matlab code for face recognition using artificial neural networks -
Posted By: Suman
Created at: Thursday 05th of October 2017 05:12:46 AM
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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 functional link artificial neural networks
Page Link: matlab code for functional link artificial neural networks -
Posted By: thakur37
Created at: Thursday 17th of August 2017 07:59:19 AM
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Abstract Here we have presented an alternate ANN
structure called functional page link ANN (FLANN) for image
denoising. In contrast to a feed forward ANN structure i.e.
a multilayer perceptron (MLP), the FLANN is basically a
single layer structure in which non-linearity is introduced
by enhancing the input pattern with nonlinear function
expansion. In this work three different expansions is
applied. With the proper choice of functional expansion in
a FLANN , this network performs as good as and in some
case even better than the MLP st ....etc

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