neural networkk based textile
Tài liệu A neural-network-based space-vector PWM controller for a three-level voltage-fed inverter induction motor drive doc
... 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. ... FORNEURALNETWORK Neural- network -based SVM for a two-level inverter has beendescribed in the literature [2], [3]. It will now be extended to a0093-9994/02$17.00 © 2002 IEEEMONDAL et al.: A NEURAL- NETWORK -BASED ... the correspondingfunctions, as discussed above, permits neural- network -based SVM implementation using two separate sections: one is the neural net section that generates thefunction from theangleand...
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neural network-based face detection
... Kanadetk@cs.cmu.eduhttp://www.cs.cmu.edu/˜tkAbstractWe present a neural network -based face detectionsystem. A retinally connected neural network ex-amines small windows of an image, and decideswhether ... tested this hy-pothesis by using a separate neural network to ar-bitrate among multiple detection networks. It wasfound that the neural network -based arbitrationpro-duces results comparable ... terms of detectionand false-positive rates.1 IntroductionIn this paper, we present a neural network -based al-gorithmto detect frontalviewsof faces in gray-scaleimages1. The algorithms...
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rotation invariant neural network-based
... Face recognition/detection by probabilis-tic decision -based neural network. IEEE Transactions on Neural Networks, Special Issue onArtificial 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, 1996.13Figure 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...
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experimental analysis of neural network based feature extractors for
... Artificial neural networks for feature extractionand 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. PatternRecognition. ... characters. However, the featureextraction ability of MLP based neural networks has notbeen investigated properly. In this paper, a new MLP based approach such as an auto-associator for feature extractionfrom...
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neural network-based handwritten signature
... Back-propagation Neural Networks. Proceedings ofthe Sixth International Conference on Document Analysis andRecognition, pp 992, 2001.[10] L. Ma, T. Tan, Y. Wand and D. Zhang. Personal Identification Based ... This approach is used to train thefinal version of the NN based HSV system.In summary, the final (most successful) version of theNN based HSV system uses a single MLP with onehidden layer to ... percentage.JOURNAL OF COMPUTERS, VOL. 3, NO. 8, AUGUST 2008 17© 2008 ACADEMY PUBLISHER Neural Network -based Handwritten SignatureVerificationAlan McCabe, Jarrod Trevathan and Wayne ReadSchool...
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neural network-based offline handwritten
... 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...
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neural network based trajectory planning
... 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,...
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Báo cáo hóa học: " Research Article Validity-Guided Fuzzy Clustering Evaluation for Neural Network-Based Time-Frequency Reassignment" potx
... localized neural networks.3.2. Localized Neural Network Processing. The selected ANN’stopology includes 40 hidden units in a single hiddenlayer with feed-forward back-propagation neural networkarchitecture. ... [28].3.2.1. Multiple Neural Networks Training and Selecting Local-ized Neural Networks. The spectrogram and preprocessedWVD 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, andobjective function -based methods [3].Localized neural processing...
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báo cáo hóa học:" Research Article Performance Analysis of Bit-Width Reduced Floating-Point Arithmetic Units in FPGAs: A Case Study of Neural Network-Based Face Detector" ppt
... detector based on neural networks,” IEEETransactions 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 ... showsthe output value of the neural network. The neural networkis learned to pursue the desired value “1” for face and “–1”for non-face.3. Error Analysis of the Neural Network Causedby Reduced-Precision ... accumulated error of the neural network is obtained as shown in Ta bl e 11 .4. Result and Discussion4.1. FPGA Synthesis Results. The FPGA -based face detectorusing the neural network and the...
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báo cáo hóa học:" Research Article Analysis of the Effects of Finite Precision in Neural Network-Based Sound Classifiers for Digital Hearing Aids" pot
... shorter timeslots.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 toother ... limited precision, this paperfocuses on.The problem of implementing a neural- based soundclassifier in a hearing aid is that DSP -based hearing aidshave constraints in terms of computational capability ... processor the hearing aid is based on.In this respect, the objective of this paper has been toquantitatively analyzing these effects on the performanceof neural network -based sound classifiers in...
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Báo cáo khoa học: "Association-based Natural Language Processing with Neural Networks" ppt
... 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...
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perlovsky - neural networks and intellect - using model-based concepts (oxford, 2001)
... The course describes how to design neural networks with internal models. Model -based neural networks combine domainknowledge with learning and adaptivity of neural networks.Prerequisites: probabilityLevel: ... The course describes how to design neural networks with internal models. Model -based neural networks combine domainknowledge with learning and adaptivity of neural networks.Prerequisites: probability ... emergence of a unified model -based pattern recognition method. We formulatetracking as recognition of spatiotemporal patterns based on dynamic models, similar toimage recognition based on geometric models.Classical...
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facial expression classification based on multi artificial neural network
... 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...
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- neural networks
- neural network
- ứng dụng neural network
- recurrent neural network based language model
- extensions of recurrent neural network based language model
- recurrent neural network based language model bibtex
- recurrent neural network based language modeling in meeting recognition
- recurrent neural network based language model interspeech 2010
- differential recurrent neural network based predictive control
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