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

- Kunihiko Fukushima, Taro Imagawa:
Recognition and segmentation of connected characters with selective attention.
33-41

- 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

- Jeffrey Hoffman, Josef Skrzypek, Jacques J. Vidal:
Cluster network for recognition of handwritten, cursive script characters.
69-78

- Andrew H. Gee, Sreeram V. B. Aiyer, Richard W. Prager:
An analytical framework for optimizing neural networks.
79-97

- Sam-Kit Sin, Rui J. P. de Figueiredo:
Efficient learning procedures for optimal interpolative nets.
99-113

- Masahiko Morita:
Associative memory with nonmonotone dynamics.
115-126

- Friedrich Biegler-König, Frank Bärmann:
A learning algorithm for multilayered neural networks based on linear least squares problems.
127-131

- Kevin N. Gurney:
Training nets of stochastic units using system identification.
133-145

Current Events
- Conferences on neural networks and related topics.
151-159

Volume 6, Number 2, 1993
Volume 6, Number 3, 1993
- Mats Bengtsson:
A neural system as a dynamical model for early vision.
313-325

- Haruo Kobayashi, Takashi Matsumoto, Tetsuya Yagi, Takuji Shimmi:
Image processing regularization filters on layered architecture.
327-350

- Thierry Denoeux, Régis Lengellé:
Initializing back propagation networks with prototypes.
351-363

- Alessandro Sperduti, Antonina Starita:
Speed up learning and network optimization with extended back propagation.
365-383

- Charles W. Lee:
Learning in neural networks by using tangent planes to constraint surfaces.
385-392

- Lars Kai Hansen:
Stochastic linear learning: Exact test and training error averages.
393-396

- Mohamad T. Musavi, K. Kalantri, Wahid Ahmed, Khue Hiang Chan:
A minimum error neural network (MNN).
397-407

- Jörgen M. Karlholm:
Associative memories with short-range, higher order couplings.
409-421

- John G. Taylor, Stephen Coombes:
Learning higher order correlations.
423-427

- Martin Brown, Chris J. Harris, Patrick C. Parks:
The interpolation capabilities of the binary CMAC.
429-440

- Geoffrey J. Chappell, John G. Taylor:
The temporal Kohönen map.
441-445

Volume 6, Number 4, 1993
- Stephen Grossberg:
A solution of the figure-ground problem for biological vision.
463-483

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

- Lei Xu:
Least mean square error reconstruction principle for self-organizing neural-nets.
627-648

- Pascal Koiran:
On the complexity of approximating mappings using feedforward networks.
649-653

- Michel Benaïm:
The "off line learning approximation" in continuous time neural networks: An adiabatic theorem.
655-665

- Frank E. McFadden, Yun Peng, James A. Reggia:
Local conditions for phase transitions in neural networks with variable connection strengths.
667-676

- Theodore A. Burton:
Averaged neural networks.
677-680

- Harald Englisch, Yegao Xiao, Kailun Yao:
Strongly diluted networks with selfinteraction.
681-688

- Haruhisa Takahashi, Etsuji Tomita, Tsutomu Kawabata:
Separability of internal representations in multilayer perceptrons with application to learning.
689-703

- J. M. Minor:
Parity with two layer feedforward nets.
705-707

- Katsunori Shimohara, Tadasu Uchiyama, Yukio Tokunaga:
Subconnection neural network for event-driven temporal sequence processing.
709-718

- Youngjik Lee, Sang-Hoon Oh, Myung Won Kim:
An analysis of premature saturation in back propagation learning.
719-728

- Shigeo Abe, Masahiro Kayama, Hiroshi Takenaga, Tadaaki Kitamura:
Extracting algorithms from pattern classification neural networks.
729-735

Current Events
- Conferences on neural networks and related topics.
741-752

Volume 6, Number 6, 1993
Original Contribution
- Brendan L. Rogers:
New conditioned stimulus trace circuit for the rabbit's nictitating membrane response.
753-769

- William Finnoff, Ferdinand Hergert, Hans-Georg Zimmermann:
Improving model selection by nonconvergent methods.
771-783

- 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

- Faouzi Bouslama, Akira Ichikawa:
Application of neural networks to fuzzy control.
791-799

- Ken-ichi Funahashi, Yuichi Nakamura:
Approximation of dynamical systems by continuous time recurrent neural networks.
801-806

- Thierry Catfolis:
A method for improving the real-time recurrent learning algorithm.
807-821

- Mark D. Plumbley:
Efficient information transfer and anti-Hebbian neural networks.
823-833

- Pierre Courrieu:
A convergent generator of neural networks.
835-844

- Ali A. Minai, Ronald D. Williams:
On the derivatives of the sigmoid.
845-853

- Masahiko Arai:
Bounds on the number of hidden units in binary-valued three-layer neural networks.
855-860

- Moshe Leshno, Vladimir Ya. Lin, Allan Pinkus, Shimon Schocken:
Multilayer feedforward networks with a nonpolynomial activation function can approximate any function.
861-867

- Shashank K. Mehta, Laszlo Fulop:
An analog neural network to solve the hamiltonian cycle problem.
869-881

Current Events
- Conferences on neural networks and related topics.
883-893

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