artificial neural network using java
a facial expression classification system integrating canny, principal component analysis and artificial neural network
Ngày tải lên :
28/04/2014, 10:06
... CLASSIFICATION USING
ARTIFICIAL NEURAL NETWORK
In this paper, we use Multi Layer Perceptron (MLP) Neural
Network with back propagation learning algorithm.
A. Multi layer Perceptron (MLP) Neural Network ... with Rapid Facial Expression
Classification Using Artificial Neural Network [10], Facial
Expression Classification Using Multi Artificial Neural
Network [11] in the same JAFFE database.
TABLE ... Facial
Expression
Classification Using
Artificial Neural
Networks [10]
73.3%
Facial Expression
Classification Using
Multi Artificial Neural
Network [11]
83.0%
Proposal System...
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facial expression classification based on multi artificial neural network
Ngày tải lên :
28/04/2014, 10:06
... many Neural
Networks together, so we call it Multi Artificial Neural Network (MANN).
3 Multi Artificial Neural Network apply for image classification
3.1 The proposal MANN model
Multi Artificial ... classified into
responsive class using a Neural Network called Sub Neural Network (SNN) of
MANN. Lastly, we use MANN’s global frame (GF) consisting some Component
Neural Network (CNN) to compose the ... classification.
One other approach is popular at present is to use Artificial Neural Network for the
pattern classification. Artificial Neural Network will be trained with the patterns to
find the weight...
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backpropagation artificial neural network in c++ - codeproject
Ngày tải lên :
28/04/2014, 10:10
... and 1.0.
Neural Network Classes
The neural network is composed from the following classes:
ANNetwork
ANNLayer
ANeuron
ANLink
The ANNetwork class contains the implementation of the neural network ... layer:
ANNetwork::ANNetwork(const wchar_t *fname);
ANNetwork::ANNetwork(int layers_number, int *neurons_per_layer);
int nerons_per_layer[4] = {128, 64, 32, 10};
ANNetwork *ann = new ANNetwork(4, ... plr->neurons[n];
Articles » General Programming » Algorithms & Recipes » Neural Networks
Backpropagation Artificial Neural Network in C++
By Chesnokov Yuriy, 20 May 2008
Download demo - 95.7 KB
Download...
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Automatic text extraction using DWT and Neural Network
Ngày tải lên :
05/11/2012, 14:51
... the neural network
2.2 Neural Network
In this subsection, text extraction from static image
or video sequences is accomplished using the
back-propagation (BP) algorithm on a neural network. ... Those features are used as the input of a
neural network for training based on the
back-propagation algorithm for neural networks.
After the neural network is well trained, new input
data will ... static images or video sequences using
DWT and a neural network. DWT provides features
of text regions for the training of a neural network
using the back-propagation (BP) algorithm. We
employ...
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Text extraction from name cards using neural network
Ngày tải lên :
05/11/2012, 14:54
... width and height, there are
totally 14 features used for the neural network analysis.
D. Contours classification using neural network
We extract the above features which are helpful for
classification ... Binarization result
IV. CONCLUSION AND FUTURE
WORKS
A neural network based method is discussed in this
paper. The features used for the neural network are not
only the spatial characteristics but ... show advantage of using relative
alignment features in classifying our fanciful designed
name card images. We did some tests of using only the 8
spatial features for the neural network and confirm...
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Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks
Ngày tải lên :
22/03/2013, 15:01
...
specimen is estimated using empirical equations. And the maximum
pore pressure ratio is used 30% that set by ASTM D4186.
DESIGN ARTIFICIAL NEURAL NETWORK MODEL
Neural networks are computer ... GW (1992). " ;Neural network modeling of the mechanical behavior
of sand," Proc. 9
th
Conf. ASCE, New York, pp 421-424.
Garson, GD (1991). "Interpreting neural- network connection ... In this study, a back-propagation
neural network model for estimating of proper strain rate form soil
parameter is proposed. The back-propagation neural network program
adopted in the present...
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Báo cáo khoa học: "Fast Semantic Extraction Using a Novel Neural Network Architecture" docx
Ngày tải lên :
17/03/2014, 04:20
... parser-based techniques.
We propose here a neural network based architec-
ture which achieves these two goals.
4.1 Basic Architecture
The type of neural network that we employ is a Multi
Layer Perceptron ... A further analysis of using chunkers, with
improved results was also given in (Punyakanok et
al., 2005), but still concluded the full parse tree is
most useful.
4 Neural Network Architecture
Ideally, ... identified by ASSERT
we instead obtain 84.32% accuracy for our network,
and 87.02% for ASSERT.
6 Discussion
We have introduced a neural network architecture
that can provide computationally efficient...
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vehicle signal analysis using artificial neural networks
Ngày tải lên :
28/04/2014, 10:02
...
sensors
ISSN 1424-8220
www.mdpi.com/journal/sensors
Article
Vehicle Signal Analysis Using Artificial Neural Networks
for a Bridge Weigh-in-Motion System
Sungkon Kim
1
, Jungwhee Lee
2,*
,
... This paper describes the procedures for development of signal analysis
algorithms using artificial neural networks for Bridge Weigh-in-Motion (B-WIM) systems.
Through the analysis procedure, ... Lee, J.; Jo, B W.; Kim, S. Development of Bridge WIM Systems without Axle
Detector Using Artificial Neural Network. In Proceedings of the Fourth International Conference
on Bridge Maintenance,...
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audio to visual speech synthesis using artificial neural networks
Ngày tải lên :
28/04/2014, 10:06
... speech
movements by training an artificial neural
network to associate or map fundamental acoustic
properties of auditory speech to our visible speech
parameters. Neural networks have been shown to
be ... architecture of our parameter estima-
tor.
Picture My Voice:
Audio to Visual Speech Synthesis using Artificial Neural Networks
Dominic W. Massaro , Jonas Beskow, Michael M. Cohen, Christopher L. Fry, and ... units were able to learn the mapping
by training several networks with 10, 50 and 100
hidden units.
3.2 Results
The networks were evaluated using the root mean
square (RMS) error over time and the...
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facial expression using pca and neural network
Ngày tải lên :
28/04/2014, 10:06
... CLASSIFICATION USING
ARTIFICIAL NEURAL NETWORK
In this paper, we use Multi Layer Perceptron (MLP)
Neural Network with back propagation learning algorithm.
A. Multi layer Perceptron (MLP) Neural Network ... detection using canny algorithm.
Figure 2. An Facial Image in JAFEE
Classify
using
Neural
Network
Face
Image
Edge
Detection
using
Canny
Feature
Extraction
using PCA ... problem such as: using K-NN, K-Mean, Support Vector
Machine (SVM) and Artificial Neural Network (ANN). In
this paper, we propose a solution for Facial Expression
Classification using Principal...
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landscape image of regional tourism classification using neural network
Ngày tải lên :
28/04/2014, 10:06
... tourism
class using a Neural Network called Sub Neural
Network (SNN) of MANN. Lastly, we use MANN’s
to compose the classified result of all SNN.
II. MULTI
ARTIFICIAL
NEURAL
NETWORK
IMPROVEMENT
... Artificial Neural Network (MANN), applying
for pattern or image classification with parameters
(m,L), has m Sub -Neural Network (SNN) and a global
frame (GF) consisting L Component Neural Network ... parameters.
Therefore, we use Neural Network to apply for
landscape image of regional tourism classification.
In this paper, we improve the Multi Artificial
Neural Network (MANN) model to apply...
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computer programming - java - neural network gui with joone (2002)
Ngày tải lên :
29/04/2014, 14:52
... recurrent neural networks like the Jordan
-
Elman NNs.
5.1.6
Nested ANN
The nested neural network layer permits an entire neural network to be added to the
network being edited. Using this ...
The first neural network
5
A simple but useless neural network
5
A real implementation: the XOR problem.
6
Saving and restor
ing a neural network
.9
The simplest way
9
Using a NeuralNet ...
http://sourceforge.net/projects/joone/
10.2
Artificial Neural Networks Technology
http://www.dacs.dtic.mil/techs /neural/ neural_ToC.html
10.3
Java
http://ja
va.sun.com/
10.4
JAXP
http:/ /java. sun.com/xml
...
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