Volume 6,
Number 1,
1993
Editorial
Letters to the Editor
Original Contributions
- Marc M. Van Hulle, Tom Tollenaere:
A modular artificial neural network for texture processing.
7-32
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- Kunihiko Fukushima, Taro Imagawa:
Recognition and segmentation of connected characters with selective attention.
33-41
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- Stephen Grossberg, Frank H. Guenther, Daniel Bullock, Douglas N. Greve:
Neural representations for sensory-motor control, II: Learning a head-centered visuomotor representation of 3-D target position.
43-67
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- Jeffrey Hoffman, Josef Skrzypek, Jacques J. Vidal:
Cluster network for recognition of handwritten, cursive script characters.
69-78
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- Andrew H. Gee, Sreeram V. B. Aiyer, Richard W. Prager:
An analytical framework for optimizing neural networks.
79-97
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- Sam-Kit Sin, Rui J. P. de Figueiredo:
Efficient learning procedures for optimal interpolative nets.
99-113
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- Masahiko Morita:
Associative memory with nonmonotone dynamics.
115-126
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- Friedrich Biegler-König, Frank Bärmann:
A learning algorithm for multilayered neural networks based on linear least squares problems.
127-131
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- Kevin N. Gurney:
Training nets of stochastic units using system identification.
133-145
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Current Events
Volume 6,
Number 2,
1993
Volume 6,
Number 3,
1993
- Mats Bengtsson:
A neural system as a dynamical model for early vision.
313-325
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- Haruo Kobayashi, Takashi Matsumoto, Tetsuya Yagi, Takuji Shimmi:
Image processing regularization filters on layered architecture.
327-350
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- Thierry Denoeux, Régis Lengellé:
Initializing back propagation networks with prototypes.
351-363
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- Alessandro Sperduti, Antonina Starita:
Speed up learning and network optimization with extended back propagation.
365-383
Electronic Edition (link) BibTeX
- Charles W. Lee:
Learning in neural networks by using tangent planes to constraint surfaces.
385-392
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- Lars Kai Hansen:
Stochastic linear learning: Exact test and training error averages.
393-396
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- Mohamad T. Musavi, K. Kalantri, Wahid Ahmed, Khue Hiang Chan:
A minimum error neural network (MNN).
397-407
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- Jörgen M. Karlholm:
Associative memories with short-range, higher order couplings.
409-421
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- John G. Taylor, Stephen Coombes:
Learning higher order correlations.
423-427
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- Martin Brown, Chris J. Harris, Patrick C. Parks:
The interpolation capabilities of the binary CMAC.
429-440
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- Geoffrey J. Chappell, John G. Taylor:
The temporal Kohönen map.
441-445
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Volume 6,
Number 4,
1993
Original Contribution
Volume 6,
Number 5,
1993
Letters to the editor
Original Contributions
- Terry M. Caelli, David McG. Squire, Tom P. J. Wild:
Model-based neural networks.
613-625
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- Lei Xu:
Least mean square error reconstruction principle for self-organizing neural-nets.
627-648
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- Pascal Koiran:
On the complexity of approximating mappings using feedforward networks.
649-653
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- Michel Benaim:
The "off line learning approximation" in continuous time neural networks: An adiabatic theorem.
655-665
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- Frank E. McFadden, Yun Peng, James A. Reggia:
Local conditions for phase transitions in neural networks with variable connection strengths.
667-676
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- Theodore A. Burton:
Averaged neural networks.
677-680
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- Harald Englisch, Yegao Xiao, Kailun Yao:
Strongly diluted networks with selfinteraction.
681-688
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- Haruhisa Takahashi, Etsuji Tomita, Tsutomu Kawabata:
Separability of internal representations in multilayer perceptrons with application to learning.
689-703
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- J. M. Minor:
Parity with two layer feedforward nets.
705-707
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- Katsunori Shimohara, Tadasu Uchiyama, Yukio Tokunaga:
Subconnection neural network for event-driven temporal sequence processing.
709-718
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- Youngjik Lee, Sang-Hoon Oh, Myung Won Kim:
An analysis of premature saturation in back propagation learning.
719-728
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- Shigeo Abe, Masahiro Kayama, Hiroshi Takenaga, Tadaaki Kitamura:
Extracting algorithms from pattern classification neural networks.
729-735
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Current Events
Volume 6,
Number 6,
1993
Original Contribution
- Brendan L. Rogers:
New conditioned stimulus trace circuit for the rabbit's nictitating membrane response.
753-769
Electronic Edition (link) BibTeX
- William Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann:
Improving model selection by nonconvergent methods.
771-783
Electronic Edition (link) BibTeX
- Hubertus M. A. Andree, Gerard T. Barkema, Wim Lourens, Arie Taal, Jos C. Vermeulen:
A comparison study of binary feedforward neural networks and digital circuits.
785-790
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- Faouzi Bouslama, Akira Ichikawa:
Application of neural networks to fuzzy control.
791-799
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- Ken-ichi Funahashi, Yuichi Nakamura:
Approximation of dynamical systems by continuous time recurrent neural networks.
801-806
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- Thierry Catfolis:
A method for improving the real-time recurrent learning algorithm.
807-821
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- Mark D. Plumbley:
Efficient information transfer and anti-Hebbian neural networks.
823-833
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- Pierre Courrieu:
A convergent generator of neural networks.
835-844
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- Ali A. Minai, Ronald D. Williams:
On the derivatives of the sigmoid.
845-853
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- Masahiko Arai:
Bounds on the number of hidden units in binary-valued three-layer neural networks.
855-860
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- Moshe Leshno, Vladimir Ya. Lin, Allan Pinkus, Shimon Schocken:
Multilayer feedforward networks with a nonpolynomial activation function can approximate any function.
861-867
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- Shashank K. Mehta, Laszlo Fulop:
An analog neural network to solve the hamiltonian cycle problem.
869-881
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Current Events
Copyright © Tue Nov 18 20:44:19 2008
by Michael Ley (ley@uni-trier.de)
