artificial neural network matlab pdf
a facial expression classification system integrating canny, principal component analysis and artificial neural network
Ngày tải lên :
28/04/2014, 10:06
... 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 ... any in L given classes, the Artificial Neural
Network identify and report results to the outside given classes.
In this paper, we propose the Multi Artificial Neural Network (MANN) model to
apply ... 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 classified...
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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, ... 337-341
http://www.cinc.org/archives/2006 /pdf/ 0337 .pdf)
Comments and Discussions
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http://www.codeproject.com/Articles/21171/Backpropagation -Artificial- Neural- Network- in-C...
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Tài liệu Evolving the neural network model for forecasting air pollution time series pdf
Ngày tải lên :
17/02/2014, 22:20
... Geophysical
Research 90 (C5), 8995–9005.
Yao, X., 1999. Evolving artificial neural networks. Proceedings of the
IEEE Transactions on Neural Networks 87 (9), 1423–1447.
ARTICLE IN PRESS
H. Niska et al. / Engineering ... Arbor.
Hornik, K., Stinchcombe, M., White, H., 1989. Multilayer feedfor-
ward networks are universal approximators. Neural Networks 2,
359–366.
Jain, A., Zongker, D., 1997. Feature selection: evaluation, ... (Hornik et al., 1989), which states that a two-
hidden layer network may achieve the same accuracy
with a single hidden layer neural network with fewer
hidden layer neurons. However, the use of...
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Báo cáo khoa học: "Discriminative Training of a Neural Network Statistical Parser" pdf
Ngày tải lên :
23/03/2014, 19:20
... can be found.
The three parsing models differ in the crite-
ria the neural networks are trained to optimize.
Two of the neural networks are trained using the
standard maximum likelihood approach ... full
neural network, as described in the next section.
4 Three Optimization Criteria and
their Training Methods
As with many other machine learning methods,
training a Simple Synchrony Network ... derivative.
3
The third neural network combines the ad-
vantages of the generative probability model
with the advantages of the discriminative opti-
mization criteria. The structure of the network
and the...
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Artificial Neural Networks - a Useful Tool in Air Pollution and Meteorological Modelling pdf
Ngày tải lên :
29/03/2014, 21:20
... Conclusion
Two types of artificial neural networks were shown to be useful tools for environmental
modelling: the multilayer perceptron neural network MPNN and the Kohonen neural
network KNN. MPNN ... of artificial neural networks that can cover a
huge variety of air pollution and meteorological modelling applications. The two selected
are the Multilayer Perceptron artificial Neural Network ...
www.intechopen.com
Advanced Air Pollution
496
2. Artificial neural networks – several types for different purposes
Artificial neural networks can be divided into several groups according...
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Neural Network Toolbox in Matlab
Ngày tải lên :
28/04/2014, 10:17
... determine the network function. You
can train a neural network to perform a particular function by adjusting the
values of the connections (weights) between elements.
Typically, neural networks ... to validate that the network is generalizing and to stop
training before overfitting.
Fitting a Function
1-13
Using the Neural Network Fitting Tool GUI
1 Open the Neural Network Fitting Tool ... how to use three graphical tools for training neural
networks to solve problems in function fitting, pattern recognition, and
clustering.
Neural Network
including connections
(called weights)...
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Báo cáo hóa học: "Investigating the synchronization of hippocampal neural network in response to acute nicotine exposure" pdf
Ngày tải lên :
19/06/2014, 08:20
... are unique and
indicate the emergence of more synchronization of the
hippocampal neural networks since hippocampal neural
firings become regular and deterministic processes in
response to the 100 ... during control and washout conditions. These
results suggest that the neural firing becomes regular and the hippocampal networks become synchronized in
response to nicotine exposure.
Introduction
Nicotine, ... 10.1186/1743-0003-7-31
Cite this article as: Akkurt et al., Investigating the synchronization of hip-
pocampal neural network in response to acute nicotine exposure Journal of
NeuroEngineering and Rehabilitation...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 1 pdf
Ngày tải lên :
20/06/2014, 00:20
...
quality index
using a feed-
forward back-
propagation
network in an
artificial neural
network system
/
14 Artificial Neural
Network- embedded
Expert System for the
Design of Canopy ... m/min
because of the
ARTIFICIAL NEURAL
NETWORKS ͳ
INDUSTRIAL AND CONTROL
ENGINEERING
APPLICATIONS
Edited by Kenji Suzuki
Review of Application of Artificial Neural Networks
in Textiles ... orders@intechweb.org
Artificial Neural Networks - Industrial and Control Engineering Applications,
Edited by Kenji Suzuki
p. cm.
ISBN 978-953-307-220-3
1
Review of Application of Artificial Neural
Networks...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 5 pdf
Ngày tải lên :
20/06/2014, 00:20
...
Fig. 5. The structure of BP neural network of GA-BP III algorithm in compositions
optimization
The concrete structure of BP neural network is the improved BP neural network optimized
by GA which ... properties
were tested.
Artificial Neural Networks - Industrial and Control Engineering Applications
156
Fig. 3. Schematic architecture of Artificial Neural Network model.
The processing ... Artificial Neural Networks - Industrial and Control Engineering Applications
146
According to the BP neural network model, the number of hidden neurons is initially
chosen as 6, so the neural...
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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 ... network.
The training of the neural network is based on the
features we obtain from the DWT detail component
sub-bands. As shown in Figure 6, the proposed neural
network architecture is simpler...
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Text extraction from name cards using neural network
Ngày tải lên :
05/11/2012, 14:54
... 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 ... 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 ...
Backpropagation neural network can handle any nonlinear
relationship after training including the complicated inter-
relationship between the features. Making use of neural
networks will also...
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