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Journals in DBLP

Neural Networks
1997, volume: 10, number: 3

  1. Alessandro Sperduti
    On the Computational Power of Recurrent Neural Networks for Structures. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:395-400 [Journal]
  2. Gustavo Deco, Ralph Neuneier, Bernd Schürmann
    Non-parametric Data Selection for Neural Learning in Non-stationary Time Series. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:401-407 [Journal]
  3. Matthias Blume, Sadik C. Esener
    An Efficient Mapping of Fuzzy ART onto a Neural Architecture. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:409-411 [Journal]
  4. Tatsuo Kitajima, Ken-ichi Hara
    An Integrated Model for Activity-dependent Synaptic Modifications. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:413-421 [Journal]
  5. Yasuhiro Sagawa
    A Function of Neural Networks Generating End- and Side-inhibition in the Primary Visual Cortex. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:423-429 [Journal]
  6. Marc M. Van Hulle
    Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:431-446 [Journal]
  7. David A. Sprecher
    A Numerical Implementation of Kolmogorov's Superpositions II. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:447-457 [Journal]
  8. Srinivasa V. Chakravarthy, Joydeep Ghosh
    Function Emulation Using Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:459-478 [Journal]
  9. Dirk Husmeier, John G. Taylor
    Predicting Conditional Probability Densities of Stationary Stochastic Time Series. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:479-497 [Journal]
  10. Philippe De Wilde
    The Magnitude of the Diagonal Elements in Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:499-504 [Journal]
  11. Christian Schittenkopf, Gustavo Deco, Wilfried Brauer
    Two Strategies to Avoid Overfitting in Feedforward Networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:505-516 [Journal]
  12. Xiao-Hu Yu, Guo-An Chen
    Efficient Backpropagation Learning Using Optimal Learning Rate and Momentum. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:517-527 [Journal]
  13. Roelof K. Brouwer
    Automatic Growing of a Hopfield Style Network During Training for Classification. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:529-537 [Journal]
  14. Behnam S. Arad, Ahmed El-Amawy
    On Fault Tolerant Training of Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:539-553 [Journal]
  15. Maria Alberta Alberti, Alberto Bertoni, Paola Campadelli, Giuliano Grossi, Roberto Posenato
    A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:555-560 [Journal]
  16. P. P. Raghu, B. Yegnanarayana
    Multispectral Image Classification Using Gabor Filters and Stochastic Relaxation Neural Network. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:561-572 [Journal]
  17. Yi Cheng, Thomas W. Karjala, David M. Himmelblau
    Closed Loop Nonlinear Process Identification Using Internally Recurrent Nets. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:3, pp:573-586 [Journal]
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