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There are 6344 results for: content related to: Census and monitoring based on individually identifiable vocalizations: the role of neural networks

  1. Adaptive neural networks and their applications

    International Journal of Intelligent Systems

    Volume 8, Issue 4, 1993, Pages: 453–507, Bernard Widrow and Michael A. Lehr

    Version of Record online : 13 MAR 2007, DOI: 10.1002/int.4550080403

  2. A Comparison of Selected Artificial Neural Networks that Help Auditors Evaluate Client Financial Viability

    Decision Sciences

    Volume 31, Issue 2, June 2000, Pages: 531–550, Harlan L. Etheridge, Ram S. Sriram and H. Y. Kathy Hsu

    Version of Record online : 7 JUN 2007, DOI: 10.1111/j.1540-5915.2000.tb01633.x

  3. You have free access to this content
    Appendix G: Thirty Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation

    Adaptive Inverse Control: A Signal Processing Approach, Reissue Edition

    Bernard Widrow, Eugene Walach, Pages: 409–474, 2007

    Published Online : 16 JUL 2007, DOI: 10.1002/9780470231616.app7

  4. You have free access to this content
    Ca2+ imaging of mouse neocortical interneurone dendrites: Ia-type K+ channels control action potential backpropagation

    The Journal of Physiology

    Volume 551, Issue 1, August 2003, Pages: 49–65, Jesse H. Goldberg, Gabor Tamas and Rafael Yuste

    Version of Record online : 16 JUL 2004, DOI: 10.1111/j.1469-7793.2003.00049.x

  5. Predicting Geotechnical Parameters of Sands from CPT Measurements Using Neural Networks

    Computer-Aided Civil and Infrastructure Engineering

    Volume 17, Issue 1, January 2002, Pages: 31–42, C. Hsein Juang, Ping C. Lu and Caroline J. Chen

    Version of Record online : 17 DEC 2002, DOI: 10.1111/1467-8667.00250

  6. GABAB receptors inhibit backpropagating dendritic spikes in hippocampal CA1 pyramidal cells in vivo


    Volume 16, Issue 4, April 2006, Pages: 388–407, L. Stan Leung and Pascal Peloquin

    Version of Record online : 12 JAN 2006, DOI: 10.1002/hipo.20168

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    Learning in Single Hidden-Layer Feedforward Network Models: Backpropagation in a Spatial Interaction Modeling Context

    Geographical Analysis

    Volume 28, Issue 1, January 1996, Pages: 38–55, Sucharita Gopal and Manfred M. Fischer

    Version of Record online : 7 SEP 2010, DOI: 10.1111/j.1538-4632.1996.tb00920.x

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    Optimization in an Error Backpropagation Neural Network Environment with a Performance Test on a Spectral Pattern Classification Problem

    Geographical Analysis

    Volume 31, Issue 2, April 1999, Pages: 89–108, Manfred M. Fischer and Petra Staufer

    Version of Record online : 3 SEP 2010, DOI: 10.1111/j.1538-4632.1999.tb00971.x

  9. Artificial Neural Networks and Their use in Chemistry

    Reviews in Computational Chemistry, Volume 16

    Kenny B. Lipkowitz, Donald B. Boyd, Pages: 53–140, 2007

    Published Online : 5 JAN 2007, DOI: 10.1002/9780470125939.ch2


    Computational Intelligence

    Volume 30, Issue 3, August 2014, Pages: 535–561, Derrall Heath and Dan Ventura

    Version of Record online : 18 MAR 2013, DOI: 10.1111/coin.12006

  11. Fast backpropagation learning using optimization of learning rate for pulsed neural networks

    Electronics and Communications in Japan

    Volume 94, Issue 7, July 2011, Pages: 27–34, Kenji Yamamoto, Seiichi Koakutsu, Takashi Okamoto and Hironori Hirata

    Version of Record online : 24 JUN 2011, DOI: 10.1002/ecj.10249

  12. Neural Networks

    Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

    Nazmul Siddique, Hojjat Adeli, Pages: 103–157, 2013

    Published Online : 22 APR 2013, DOI: 10.1002/9781118534823.ch4

  13. The backpropagation learning algorithm realized by an analogue circuit

    International Journal of Circuit Theory and Applications

    Volume 21, Issue 2, March/April 1993, Pages: 177–181, Martin Hasler

    Version of Record online : 13 DEC 2006, DOI: 10.1002/cta.4490210206

  14. Multilayer Neural Networks and Backpropagation

    Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation

    David B Fogel, Derong Liu, James M Keller, Pages: 35–60, 2016

    Published Online : 25 JUL 2016, DOI: 10.1002/9781119214403.ch3

  15. Parameter-Based Kalman Filter Training: Theory and Implementation

    Kalman Filtering and Neural Networks

    Gintaras V. Puskorius, Lee A. Feldkamp, Pages: 23–67, 2002

    Published Online : 13 MAR 2002, DOI: 10.1002/0471221546.ch2

  16. Modelling combined open channel flow by artificial neural networks

    Hydrological Processes

    Volume 19, Issue 18, 30 November 2005, Pages: 3747–3762, Han-Chung Yang and Fi-John Chang

    Version of Record online : 1 AUG 2005, DOI: 10.1002/hyp.5858

  17. Gradient-based parameter optimization for systems containing discrete-valued functions

    International Journal of Robust and Nonlinear Control

    Volume 12, Issue 11, September 2002, Pages: 1009–1028, Edward Wilson and Stephen M. Rock

    Version of Record online : 3 SEP 2002, DOI: 10.1002/rnc.729

  18. Generalization of transient stability solution using neural network theory

    Electrical Engineering in Japan

    Volume 112, Issue 3, 1992, Pages: 72–79, Katsumi Ikenono and Shinichi Iwamoto

    Version of Record online : 22 MAR 2007, DOI: 10.1002/eej.4391120308

  19. Performance of a backpropagation trained feedforward network on an MIMD architecture

    Concurrency: Practice and Experience

    Volume 10, Issue 14, 10 December 1998, Pages: 1223–1234, Hazem M. Abbas and Mohamed M. Bayoumi

    Version of Record online : 19 FEB 1999, DOI: 10.1002/(SICI)1096-9128(19981210)10:14<1223::AID-CPE372>3.0.CO;2-8

  20. A levenberg–marquardt learning applied for recurrent neural identification and control of a wastewater treatment bioprocess

    International Journal of Intelligent Systems

    Volume 24, Issue 11, November 2009, Pages: 1094–1114, Ieroham S. Baruch and Carlos R. Mariaca-Gaspar

    Version of Record online : 27 JUL 2009, DOI: 10.1002/int.20377