contentbased image categorization and retrieval using neural networks
Tài liệu Intelligent Design Retrieving Systems Using Neural Networks pdf
... Computers and Industrial Engineering, 32(2):383-397.Smith, S.D.G., et al., (1997) A deployed engineering design retrieval system using neural networks, IEEETransactions on Neural Networks, ... with back-propagation neural networks and adaptive resonance theory (Bahrami et al., 1995). Lin and Chang (1996) combinefuzzy set theory and back-propagation neural networks to deal with ... 30(13):1019-1035.Liao, T.W. and K.S. Lee, (1994) Integration of a feature-based CAD system and an ART1 neural networkmodel for GT coding and part family forming, Computers and Industrial Engineering,...
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Using Neural Networks in HYSYS pptx
... 1 Using Neural Networks in HYSYS Using Neural Networks in HYSYS © 2004 AspenTech. All Rights Reserved. Using Neural Networks in HYSYS.pdf 4 Using Neural Networks in HYSYS ... interface and be able to add and configure streams, operations, utilities and case studies. 5 Using Neural Networks in HYSYSSteps for using Neural Networks in HYSYS The procedure for using ... and the calculations from HYSYS by using the View Table and View Graph buttons and choosing the Output radio button. Validating the Neural Network Results The final step before using the Neural...
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Báo cáo khoa học: "Expansion of Multi-Word Terms for Indexing and Retrieval Using Morphology and Syntax" pdf
... coverage of multi-word terms for indexing and retrieval. Final re- sults are evaluated for precision and recall, and implications for indexing and retrieval are discussed. 1 Motivation Terms ... a better understanding of the importance of term expansion, we now compare term indexing with 28 Expansion of Multi-Word Terms for Indexing and Retrieval Using Morphology and Syntax* Christian ... Krovetz, Robert and W. Bruce Croft. 1992. Lexical ambiguity and information retrieval. ACM Tran- sactions on Information Systems, 10(2):115-141. Lewis, David D., W. Bruce Croft, and Nehru Bhan-...
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speech recognition using neural networks
... inaccurate, handicapping the system’s performance. We will seethat neural networks help to avoid this problem.1.2. Neural Networks Connectionism, or the study of artificial neural networks, was ... describe different types of neural networks and training procedures (with special emphasis on backpropagation), and discussthe relationship between neural networks and conventional statistical techniques.3.1. ... 0>=x3. Review of Neural Networks 30network activation over time); and • modular networks are useful for building complex systems from simpler compo-nents.Note that unstructured networks may contain...
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Báo cáo hóa học: " Research Article 3D Model Search and Retrieval Using the Spherical Trace Transform" pptx
... Informatics and Telematics Research Insti-tute, Thessaloniki. His current research interests include 2D and 3D image coding, image processing, biomedical signal and image processing, and DVD, and Internet ... Zernike moments and Zernike affine in-variants for 3D image analysis and recognition,” in Proceedingsof the 11th Scandinavian Conference on Image Analysis,Kanger-lussuaq, Greenland, June 1999.[18] ... in 1999, 2002, and 2005,respectively. His main research interests in-clude computer vision, search and retrieval of 3D objects, theMPEG-4 standard, peer-to-peer technologies, and medical infor-matics....
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Báo cáo hóa học: " Research Article Applying Novel Time-Frequency Moments Singular Value Decomposition Method and Artificial Neural Networks for Ballistocardiography" docx
... and procedure formanufacturing same,” 1987, US patent no. 4 654 546.[14] A. Akhbardeh, M. Koivuluoma, T. Koivistoinen, and A. V¨arri,“Ballistocardiogram diagnosis using neural networks and shift-invariant ... weights, and stigma.4. RESULTSTo demonstrate the performance of our approaches and tocompare results, we used MLP (two hidden layers with 15 and 10 neurons relatively) and RBF neural networks ... 1], and finally saved randomly into a unique data matrix. We used asmall part of the data for training artificial neural networks (500 BCG cycles used for MLP nets and 300 BCG for RBFnets) and...
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Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc
... f using (6.13) with the substitutionsx xk, u uk, and z xkþ1; (2) representing f using x ðxk; ukÞ,u ;, and z xkþ1; and (3) representing g using the substitutionsx xk, u uk, and ... characterized by175Kalman Filtering and Neural Networks, Edited by Simon HaykinISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc.Kalman Filtering and Neural Networks, Edited by Simon HaykinCopyright ... matrices A and B multiplying inputs x and u, respectively; and anoutput bias vector b, and the noise covariance Q. Each RBF is assumed tobe a Gaussian in x space, with center ci and width given...
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perlovsky - neural networks and intellect - using model-based concepts (oxford, 2001)
... 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: ... to design neural networks with internal models. Model-based neural networks combine domainknowledge with learning and adaptivity of neural networks. Prerequisites: probability and signal processingLevel: ... AI, and neural networks. After analysis of successes and deficienciesof the classical techniques, new emergent concepts are introduced: evolutionarycomputation, hierarchical organization, and neural...
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Báo cáo sinh học: " Research Article Automatic Modulation Recognition Using Wavelet Transform and Neural Networks in Wireless Systems" ppt
... Wong and A. K. Nandi, “Automatic digital modu-lation recognition using artificial neural network and geneticalgorithm,” Signal Processing, vol. 84, no. 2, pp. 351–365, 2004.[7]A.K.NandiandE.E.Azzouz,“Algorithmsforautomaticmodulation ... percentage of correct identification isabout 97%.In [6], Wong and Nandi have proposed a methodfor ADMR using artificial neural networks and geneticalgorithms. In their study, they have presented ... Telecommunications and InformationTechnology, no. 4, pp. 91–97, 2004.[17] Z. Wu, G. Ren, X. Wang, and Y. Zhao, “Automatic digitalmodulation recognition using wavelet transform and neural networks, ”...
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Báo cáo hóa học: " Research Article Adaptive Transmission of Medical Image and Video Using Scalable Coding and Context-Aware Wireless Medical Networks" potx
... replaced by highly compressedimages (suitable for low-bandwidth networks) . Video and image coding and transmission can also vary according tonetwork availability and quality. The framework can ... lesion image, (b) MRI image, and (c) medical video image (snapshot) compressed at 0.5 scale factor, respectively. (d)–(f) The same images with background compressedat 0.1 scale factor and ROI ... advancedscalable video and image coding and the context-awarenessframework, medical video and image delivery can be opti-mized in terms of better resources utilization and best per-ceived quality....
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