neural networkk based textile

... Hz). (a) Neural- network -based SVM. (b) Equivalent DSP -based SVM. Fig. 11. Machine line voltage and phase current waves in mode 2 (40 Hz). (a) Neural- network -based SVM. (b) Equivalent DSP -based SVM. ... FOR N EURAL N ETWORK Neural- network -based SVM for a two-level inverter has been described in the literature [2], [3]. It will now be extended to a 0093-9994/02$17.00 © 2002 IEEE MONDAL et al.: A NEURAL- NETWORK -BASED ... the corresponding functions, as discussed above, permits neural- network -based SVM implementation using two separate sections: one is the neural net section that generates the function from the angle and...

Ngày tải lên: 22/12/2013, 08:16

... Kanade tk@cs.cmu.edu http://www.cs.cmu.edu/˜tk Abstract We present a neural network -based face detection system. A retinally connected neural network ex- amines small windows of an image, and decides whether ... tested this hy- pothesis by using a separate neural network to ar- bitrate among multiple detection networks. It was found that the neural network -based arbitrationpro- duces results comparable ... terms of detection and false-positive rates. 1 Introduction In this paper, we present a neural network -based al- gorithmto detect frontalviewsof faces in gray-scale images 1 . The algorithms...

Ngày tải lên: 28/04/2014, 09:58

... Face recognition/detection by probabilis- tic decision -based neural network. IEEE Transactions on Neural Networks, Special Issue on Artificial Neural Networks and Pattern Recognition, 8(1), January ... Zhang and John Fulcher. Face recognition using artificial neural network group -based adaptive tolerance (GAT) trees. IEEE Transactions on Neural Networks, 7(3):555–567, 1996. 13 Figure 4: Left: ... CMU- CS-92-115. [ Rowley et al., 1998 ] Henry A. Rowley, Shumeet Baluja, and Takeo Kanade. Neural network- based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1), January...

Ngày tải lên: 28/04/2014, 09:58

... Artificial neural networks for feature extraction and multivariate data projection. IEEE Trans. Neural Networks 6, 296 –317, 1995. [2] B. Lerner, Toward a completely automatic neural network based human ... 28, Part B, Special issue on artificial neural networks, 544-552, 1998. [3] B. Lerner, H. Guterman, Mayer Aladjem, A comparative study of neural network based feature extraction paradigms. Pattern Recognition. ... characters. However, the feature extraction ability of MLP based neural networks has not been investigated properly. In this paper, a new MLP based approach such as an auto-associator for feature extraction from...

Ngày tải lên: 28/04/2014, 10:10

... Back-propagation Neural Networks. Proceedings of the Sixth International Conference on Document Analysis and Recognition, pp 992, 2001. [10] L. Ma, T. Tan, Y. Wand and D. Zhang. Personal Identification Based ... This approach is used to train the final version of the NN based HSV system. In summary, the final (most successful) version of the NN based HSV system uses a single MLP with one hidden layer to ... percentage. JOURNAL OF COMPUTERS, VOL. 3, NO. 8, AUGUST 2008 17 © 2008 ACADEMY PUBLISHER Neural Network -based Handwritten Signature Verification Alan McCabe, Jarrod Trevathan and Wayne Read School...

Ngày tải lên: 28/04/2014, 10:11

... on neural network based classification. Then we summarize the classification problems, occurring when dealing with signatures, and propose solutions for them. In this paper a complete neural ... 0.5 1.1 300x300 0.2 0.5 1.4 0.3 2.0 0.5 1.3 330x330 0.1 0.3 1.9 0.2 1.2 0.2 1.7 Neural Network -based Offline Handwritten Signature Verification System using Hu’s Moment Invariant Analysis ... and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-1, Issue-1, October 2011 73 Neural Network -based Offline Handwritten Signature Verification System using Hu’s Moment Invariant Analysis...

Ngày tải lên: 28/04/2014, 10:11

... problem. In [8], neural network inverse control techniques are applied for trajectory tracking of a PD controlled rigid robot manipulator. In this study, a neural network based scheme is ... from the desired position because of link deflections and vibrations. In this study, a neural network based trajectory planning method is applied to calculate modifications in the command ... calculated by the neural network. Simulations are performed to evaluate the performance of the trajectory planning method and the control procedure. Index terms-flexible manipulator, neural network,...

Ngày tải lên: 28/04/2014, 10:16

... localized neural networks. 3.2. Localized Neural Network Processing. The selected ANN’s topology includes 40 hidden units in a single hidden layer with feed-forward back-propagation neural network architecture. ... [28]. 3.2.1. Multiple Neural Networks Training and Selecting Local- ized Neural Networks. The spectrogram and preprocessed WVD of the two signals are used to train the multiple neural networks. Fuzzy ... classifications based on the algorithmic approach of the clustering techniques, include the partitioning, hierarchical, graph-theoretic, and objective function -based methods [3]. Localized neural processing...

Ngày tải lên: 21/06/2014, 08:20

... detector based on neural networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 1, pp. 42–53, 2001. [10] H. A. Rowley, S. Baluja, and T. Kanade, Neural network- based ... shows the output value of the neural network. The neural network is learned to pursue the desired value “1” for face and “–1” for non-face. 3. Error Analysis of the Neural Network Caused by Reduced-Precision ... accumulated error of the neural network is obtained as shown in Ta bl e 11 . 4. Result and Discussion 4.1. FPGA Synthesis Results. The FPGA -based face detector using the neural network and the...

Ngày tải lên: 21/06/2014, 20:20

... shorter time slots. The second question, related to the use of neural net- works as the choice classifier, is based on the fact that neural networks exhibit very good performance when compared to other ... limited precision, this paper focuses on. The problem of implementing a neural- based sound classifier in a hearing aid is that DSP -based hearing aids have constraints in terms of computational capability ... processor the hearing aid is based on. In this respect, the objective of this paper has been to quantitatively analyzing these effects on the performance of neural network -based sound classifiers in...

Ngày tải lên: 21/06/2014, 20:20

Ngày tải lên: 23/06/2014, 01:20

Ngày tải lên: 27/06/2014, 18:20

Ngày tải lên: 07/12/2013, 11:41

Ngày tải lên: 26/12/2013, 11:11

... side represents a kana-kanji con- version process reinforced with a neural net- work handler. The network is used by the neural network handler and word associations are done in parallel with ... to the neural network handler through a homonym choice interface and the corresponding node is activated. The roles and the functions of main compo- nents are described as follows. * Neural ... ~~\ ',, "t ~ 2"~J ~ ',, "-~ Figure 1: Kana-Kanji Conversion with a Neural Network are too simple to disambiguate between possi- ble previous selections for the same...

Ngày tải lên: 17/03/2014, 08:20

... The course describes how to design neural networks with internal models. Model -based neural networks combine domain knowledge with learning and adaptivity of neural networks. Prerequisites: probability Level: ... The course describes how to design neural networks with internal models. Model -based neural networks combine domain knowledge with learning and adaptivity of neural networks. Prerequisites: probability ... emergence of a unified model -based pattern recognition method. We formulate tracking as recognition of spatiotemporal patterns based on dynamic models, similar to image recognition based on geometric models. Classical...

Ngày tải lên: 03/04/2014, 12:09

Ngày tải lên: 24/04/2014, 12:35

... region -based fuzzy feature matching approach to content -based image retrieval, Pattern Analysis and Machine Intelligence, IEEE Transactions on (2002) 1252-1267 10. Hoiem, D., et al.: Object -based ... 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 ... reliability coefficients. Our model links many Neural Networks together, so we call it Multi Artificial Neural Network (MANN). 3 Multi Artificial Neural Network apply for image classification...

Ngày tải lên: 28/04/2014, 10:06