artificial neural network sample code
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...
- 6
- 409
- 1
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...
- 9
- 387
- 0
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...
- 5
- 507
- 1
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 ...
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 ... set different thresholds for
different type of images.
To train the neural network, we create a
Backpropagation neural network consisting of 14 inputs
nodes, 20 hidden nodes, and 1 output...
- 6
- 563
- 3
Estimation of Proper Strain Rate in the CRSC Test Using a Artificial Neural Networks
Ngày tải lên :
22/03/2013, 15:01
...
DESIGN ARTIFICIAL NEURAL NETWORK MODEL
Neural networks are computer models that mimic the knowledge
acquisition and organization skills of the human brain. Since, the
characteristics of a neural ... 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...
- 5
- 516
- 1
Mô hình mạng neural network
Ngày tải lên :
29/09/2013, 06:20
... gọn như sau :
Mạng nhiều lớp neuron
CHƯƠNG 2
MÔ HÌNH MẠNG NEURAL NETWORKS
Mô hình mạng Neural tổng quát có dạng như sau :
Ngày nay mạng Neural có thể giải quyết nhiều vấn đề phức tạp đối với con ... định dạng của dữ liệu vào ảnh hưởng đến việc mô phỏng của mạng. Có hai loại mạng
static network và dynamic network. Hai kiểu vector đầu vào cơ bản là kiểu xảy ra đồng thời
(concurrently) và kiểu ... trong lớp
a : vector ngõ ra của lớp neuron
Hàm truyền
Có rất nhiều hàm truyền áp dụng trong Neural Networks, trong đó ba hàm thường sử dụng nhất
là Hard Limit, Linear, Log-Sigmoid.
Tổng quát...
- 6
- 762
- 6
043_Nghiên cứu mạng Neural Network trong nhận dạng chữ viết
Ngày tải lên :
06/10/2013, 20:20
... tự sang mã nhị phân
Unicode và ngược lại một cách thường xuyên.
- Tính toán lỗi (error), điểm ra (output) và
trọng số (weight) thường xuyên.
- Xây dựng mạng Neural Network.
1) Huấn luyện ...
Stanford AI Lab
http://ai.stanford.edu/~nilsson
[4] Offline Handwring Recognition Using
Artificial Neural Networks
â 2000, Andrew T.Wilson
University of Minnesota, Morris
... Minh Ánh. Nghiên cứu và ứng
dụng mạng neural trong nhận dạng chữ viết tay
tiếng Việt. Khóa luận tốt nghiệp đại học 2005,
Đại học Công Nghệ, ĐHQGHN.
[3] Artificial Intelligence and cognitive...
- 2
- 730
- 10
Tài liệu Handbook of Neural Network Signal Processing P2 docx
Ngày tải lên :
12/12/2013, 23:15
... method for neural networks,
in
Neural Networks for Speeach and Image Processing,
R.J. Mammone, Ed., Chapman & Hall, Boca
Raton, FL, 1993.
[10] A. Krogh and J. Vedelsby, Neural networks ensembles, ... three complementary parts: neural network fundamentals, neural
network solutions to statistical signal processing problems, and signal processing applications using
neural networks. In the first part, ... (LVQ) neural
network. The above discussion is summarized in Table 1.5.
TABLE 1.5 Pattern Classification Methods and Corresponding Neural
Network Implementations
Pattern Classification Methods Neural...
- 20
- 461
- 0
Tài liệu Handbook of Neural Network Signal Processing P1 ppt
Ngày tải lên :
12/12/2013, 23:15
... Artificial Neural Network (ANN) Models — An Overview
1.2.1 Basic Neural Network Components
A neural network is a general mathematical computing paradigm that models the operations of bio-
logical neural ... basic
neural network structures and how they impact signal processing algorithms and applications. A
challenge in surveying the field of neural network paradigms is to identify those neural network
structures ... for integrating neural networks with other
signal processing algorithms. Another important issue is how to evaluate neural network paradigms,
learning algorithms, and neural network structures...
- 30
- 466
- 0