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Tag neuralnetwork [41 articles]

Recent papers classified by the tag neuralnetwork.
  • Feature fusion and degradation using self-organizing map
    Machine Learning and Applications, 2004. Proceedings. 2004 International Conference on (2004), pp. 107-114.
    by Hai Qui, J Lee
  • PCA-based feature selection scheme for machine defect classification
    Instrumentation and Measurement, IEEE Transactions on, Vol. 53, No. 6. (2004), pp. 1517-1525.
    by A Malhi, RX Gao
  • Perceptual Grouping in a Self-Organizing Map of Spiking Neurons
    (2001)
    by Y Choe
  • Monitoring and diagnosis of rolling element bearings using artificial neural networks
    Industrial Electronics, IEEE Transactions on, Vol. 40, No. 2. (1993), pp. 209-217.
  • The self-organizing map
    Proceedings of the IEEE, Vol. 78, No. 9. (1990), pp. 1464-1480.
    by T Kohonen
  • Expanding Self-Organizing Map for data visualization and cluster analysis
    Information Sciences, Vol. 163, No. 1-3. (14 June 2004), pp. 157-173.
    by Huidong Jin, Wing-Ho Shum, Kwong-Sak Leung, Man-Leung Wong
  • On-line detection of fouling in a water circulating temperature controller (WCTC) used in injection moulding: Part 1: Principles
    Applied Thermal Engineering, Vol. 26, No. 11-12. (August 2006), pp. 1087-1094.
    by Sylvain Lalot
  • Induction machine fault detection using SOM-based RBF neural networks
    Industrial Electronics, IEEE Transactions on, Vol. 51, No. 1. (2004), pp. 183-194.
    by S Wu, TWS Chow
  • Dynamic structure adaptation in feedforward neural networks-an example of plant monitoring
    Neural Networks, 1995. Proceedings., IEEE International Conference on, Vol. 2 (1995), pp. 692-697 vol.2.
    by R Kozma, M Kitamura
  • Tracking of unusual events in wireless sensor networks based on artificial neural-networks algorithms
    Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on, Vol. 2 (2005), pp. 534-539 Vol. 2.
    by A Kulakov, D Davcev
  • Learning patterns in wireless sensor networks based on wavelet neural-networks
    Parallel and Distributed Systems, 2005. Proceedings. 11th International Conference on, Vol. 2 (2005), pp. 373-377 Vol. 2.
  • Residual life predictions from vibration-based degradation signals: a neural network approach
    Industrial Electronics, IEEE Transactions on, Vol. 51, No. 3. (2004), pp. 694-700.
  • Trade-offs in the Distribution of Neural Networks in a Wireless Sensor Network
    Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005. Proceedings of the 2005 International Conference on (2005), pp. 259-264.
    by M Holenderski, J Lukkien, Tham C Khong
  • Dynamic neural network based training for support vector machines
    Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the, Vol. 1 (2004), pp. 259-264 Vol.1.
    by Zeng-Guang Hou, MM Gupta
  • Applications of artificial intelligence techniques for induction machine stator fault diagnostics: review
    Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003. 4th IEEE International Symposium on (2003), pp. 29-34.
    by A Siddique, GS Yadava, B Singh
  • Dynamic structure neural networks for stable adaptive control of nonlinear systems
    Neural Networks, IEEE Transactions on, Vol. 7, No. 5. (1996), pp. 1151-1167.
  • A Neural Classifier with Fraud Density Map for Effective Credit Card Fraud Detection
    (2002), pp. 378-383.
    by Min-Jung Kim, Taek-Soo Kim
    posted to neuralnetwork kim fraud by Repton on 2007-01-12 00:58:59 as ** along with 1 person robincha
  • Credit Card Fraud Detection Using Bayesian and Neural Networks
    by Sam Maes, Karl Tuyls, Bram Vanschoenwinkel, Bernard Manderick
    posted to neuralnetwork fraud bayes by Repton on 2007-01-12 01:13:42 as ** along with 1 person robincha
  • Neural network systems to reproduce crash behavior of structural components
    Computers & Structures, Vol. 82, No. 1. (January 2004), pp. 93-108.
    by Luca Lanzi, Chiara Bisagni, Sergio Ricci
    posted to neuralnetwork by quaranta on 2006-06-28 08:03:29 as *
  • A kernel based system for the estimation of non-stationary signals
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on, Vol. 5 (1995), pp. 3423-3426 vol.5.
    posted to algorithm kernelestimation neuralnetwork by phreeza on 2007-12-25 04:09:58 as **
  • Reducing the Dimensionality of Data with Neural Networks
    Science, Vol. 313, No. 5786. (28 July 2006), pp. 504-507.
  • An Intelligent Statistical Arbitrage Trading System
    Social Science Research Network Working Paper Series
    by NICK Kondakis, Nikos S Thomaidis
    posted to arbitrage garch neuralnet neuralnetwork statarb statistics trading by pdlug on 2008-05-04 01:03:43 as **
  • Accuracy of dementia diagnosis--a direct comparison between radiologists and a computerized method
    Brain (3 October 2008), awn239.
    by Stefan Kloppel, Cynthia M Stonnington, Josephine Barnes, Frederick Chen, Carlton Chu, Catriona D Good, Irina Mader, Anne, Ameet C Patel, Catherine C Roberts, Nick C Fox, Clifford R Jack, John Ashburner, Richard S Frackowiak
    posted to neuralnetwork machinelearning diagnosis dementia alzheimer by ollikimu on 2008-10-09 10:07:54 as **
  • Neural network processing of natural language: II. Towards a unified model of corticostriatal function in learning sentence comprehension and non-linguistic sequencing
    Brain and Language (05 October 2008)
    by P Dominey, T Inui, M Hoen
  • Using ANNs to predict a subject's response based on EEG traces
    Neural Networks, Vol. 21, No. 7. (September 2008), pp. 881-887.
    by Vito Logar, Ales Belic, Blaz Koritnik, Simon Brezan, Janez Zidar, Rihard Karba, Drago Matko
    posted to neuralnetwork erp eeg classification analysis by ollikimu on 2008-09-11 13:37:55 as **
  • The `subsequent artificial neural network' (SANN) approach might bring more classificatory power to ANN-based DNA microarray analyses
    Bioinformatics, Vol. 20, No. 18., 3544.
    by Roland Linder, Dawn Dew, Holger Sudhoff, Dirk Theegarten, Klaus Remberger, Siegfried J Poppl, Mathias Wagner
    posted to microarray neuralnetwork by macavity1g on 2007-03-12 01:48:09 as ***
  • Neural network analysis of lymphoma microarray data: prognosis and diagnosis near-perfect.
    BMC Bioinformatics, Vol. 4, No. 1. (10 April 2003)
    by MC O'Neill, L Song
  • Hidden neural networks.
    Neural Comput, Vol. 11, No. 2. (15 February 1999), pp. 541-563.
    by A Krogh, SK Riis
  • Simulating brain damage
    Scientific American, Vol. 269, No. 4. (October 1993), pp. 76-82.
    by GE Hinton, DC Plaut, T Shallice
  • notes Toward automatic phenotyping of developing embryos from videos.
    IEEE Trans Image Process, Vol. 14, No. 9. (September 2005), pp. 1360-1371.
    by F Ning, D Delhomme, Y LeCun, F Piano, L Bottou, PE Barbano
  • On Contrastive Divergence Learning
    Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics (2005), pp. 33-40.
    by MA Carreira-Perpiñán, Geoffrey E Hinton
    edited by Robert G Cowell, Zoubin Ghahramani
    posted to contrastivedivergence neuralnetwork rbm by dwf on 2006-05-15 06:46:46 as read along with 1 person markusd
  • A fast learning algorithm for deep belief nets
    Neural Computation, Vol. 18, No. 7. (1 July 2006), pp. 1527-1554.
    by Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh
  • Why the logistic function? A tutorial discussion on probabilities and neural networks
    (1995)
    by M Jordan
  • Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
    (01 December 2001)
    by Peter Dayan, LF Abbott
  • Generative models for discovering sparse distributed representations
    Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 352, No. 1358. (1997), pp. 1177-1190.
  • Training products of experts by minimizing contrastive divergence
    (2000)
    by GE Hinton
  • Keeping the neural networks simple by minimizing the description length of the weights
    (1993), pp. 5-13.
    by Geoffrey E Hinton, Drew van Camp
    posted to bitsback compression mdl neuralnetwork by dwf on 2006-05-30 19:22:25 as *** along with 1 person zheaton
  • A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells
    Bioinformatics, Vol. 17, No. 12. (1 December 2001), pp. 1213-1223.
    by Michael V Boland, Robert F Murphy
  • Self-similarity patterns of precipitation in the Iberian Peninsula
    Theoretical and Applied Climatology, Vol. 85, No. 1. (30 May 2006), pp. 41-59.
    by A Morata, ML Martín, MY Luna, F Valero
    posted to climateresearch complexity iberian neuralnetwork by calamar on 2007-08-15 22:20:33 as **
  • Learning in spiking neural networks by reinforcement of stochastic synaptic transmission.
    Neuron, Vol. 40, No. 6. (18 December 2003), pp. 1063-1073.
    by HS Seung
  • A more biologically plausible learning rule for neural networks.
    Proc Natl Acad Sci U S A, Vol. 88, No. 10. (15 May 1991), pp. 4433-4437.
    by P Mazzoni, RA Andersen, MI Jordan
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