artificial neural network example pdf

... 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...

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...

Ngày tải lên: 28/04/2014, 10:06

... test set, for example, varying it between 0.0 and 1.0. Neural Network Classes The neural network is composed from the following classes: ANNetwork ANNLayer ANeuron ANLink The ANNetwork class ... 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 38 messages have been posted for this article Visit http://www.codeproject.com/Articles/21171/Backpropagation -Artificial- Neural- Network- in-C...

Ngày tải lên: 28/04/2014, 10:10

Ngày tải lên: 24/11/2014, 01:42

... 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...

Ngày tải lên: 17/02/2014, 22:20

... 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...

Ngày tải lên: 23/03/2014, 19:20

... 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...

Ngày tải lên: 29/03/2014, 21:20

... 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...

Ngày tải lên: 19/06/2014, 08:20

... 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...

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...

Ngày tải lên: 20/06/2014, 00:20

... reference signal Artificial Neural Networks - Industrial and Control Engineering Applications 380 3.1 The network architecture Figure 3 shows a typical two-layer artificial neural network. It ... (20) Artificial Neural Networks - Industrial and Control Engineering Applications 394 Wlas M.; Krzeminski, Z.; Guzinski, J.; Abu-Rub, H.; Toliyat, H.A. (2005). Artificial- Neural- Network- Based ... demonstrating the strong capabilities of artificial neural networks in nonlinear control applications. 7. References Bavarian B. (1988). Introduction to Neural Networks for Intelligent Control, IEEE...

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Ngày tải lên: 07/11/2014, 18:24

... 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...

Ngày tải lên: 05/11/2012, 14:51

... 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...

Ngày tải lên: 05/11/2012, 14:54