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ORCIDNeural Processing Letters, Volume 2
Volume 2, Number 1, January 1995
- Christian Jutten, Rachida Chentouf:
A new scheme for incremental learning. 1-4 - Jyrki Joutsensalo, Juha Karhunen:
A nonlinear extension of the Generalized Hebbian learning. 5-8 - Olivier Michel, Joëlle Biondi:
Morphogenesis of neural networks. 9-12 - Christopher J. Coomber:
Compartmental modelling with artificial neural networks. 13-18 - Qiuming Zhu, Ahmed Y. Tawfik
:
Quantitative object motion prediction by an ART2 and Madaline combined neural network. 19-21 - George-Peter K. Economou, Dimitris K. Lymberopoulos, Costas E. Goutis:
An ANNs-based system for the diagnosis and treatment of diseases. 22-26 - Man-Wai Mak:
A learning algorithm for Recurrent Radial Basis Function Networks. 27-31
Volume 2, Number 2, March 1995
- Florence d'Alché-Buc, Jean-Pierre Nadal:
Asymptotic performances of a constructive algorithm. 1-4 - Tamer Ölmez, Ertugrul Yazgan, Okan K. Ersoy:
A multilayer incremental neural network architecture for classification. 5-9 - Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski:
Fine-tuning Cascade-Correlation trained feedforward network with backpropagation. 10-12 - Yat-Fung Yam, Tommy W. S. Chow:
Determining initial weights of feedforward neural networks based on least squares method. 13-17 - Marco Mattavelli, Olivier Bruyndonckx, Serge Comes, Benoît Macq:
Post-processing of coded images by neural network cancellation of the unmasked noise. 18-22 - Gustavo Deco, Bernd Schürmann:
Neural learning of chaotic dynamics. 23-26 - Alessandra Chiuderi:
Improving the Counterpropagation network performances. 27-30 - Patrick Thiran:
Book review. 31
Volume 2, Number 3, June 1995
- François Blayo, Michel Verleysen:
Editorial. 1 - Leonardo Maria Reyneri:
Weighted Radial Basis Functions for improved pattern recognition and signal processing. 2-6 - Anne-Johan Annema, Hans Wallinga:
Analog weight adaptation hardware. 7-11 - Jean-Philippe Draye, Davor Pavisic, Guy Cheron, Gaetan Libert:
Adaptative time constants improve the prediction capability of recurrent neural networks. 12-16 - Colin Fyfe:
A general exploratory projection pursuit network. 17-19 - James Tin-Yau Kwok, Dit-Yan Yeung:
Improving the approximation and convergence capabilities of projection pursuit learning. 20-25 - A. Jonathan Howell, Hilary Buxton:
Invariance in radial basis function neural networks in human face classification. 26-30
Volume 2, Number 4, July 1995
- Shigetaka Fujita, Haruhiko Nishimura:
Evolving neural networks with iterative learning scheme for associative memory. 1-5 - Francesco Lisi, O. Nicolis, Marco Sandri:
Combining Singular-Spectrum Analysis and neural networks for time series forecasting. 6-10 - Ulrich Steinkühler, Wolf-Jürgen Beyn, Holk Cruse:
A simplified MMC model for the control of an arm with redundant degrees of freedom. 11-15 - Sean B. Holden, Mahesan Niranjan:
On the statistical physics of radial basis function networks. 16-19 - Yat-Fung Yam, Tommy W. S. Chow:
Accelerated training algorithm for feedforward neural networks based on least squares method. 20-25 - Samy Bengio, Yoshua Bengio, Jocelyn Cloutier:
On the search for new learning rules for ANNs. 26-30
Volume 2, Number 5, September 1995
- Ralf Möller:
A strong winner-take-all model based on integration of potential differences. 1-3 - Ken-ichiro Miura, Takashi Nagano:
A biologically plausible neural network for motion detection. 4-8 - Bernd Fritzke:
Growing Grid - a self-organizing network with constant neighborhood range and adaptation strength. 9-13 - Shouhong Wang:
A neural network technique of generating empirical bivariate distribution functions. 14-18 - Jean-Gabriel Attali, Gilles Pagès:
Approximation of functions by perceptrons: a new approach. 19-22 - Carlos García Puntonet, Alberto Prieto:
An adaptive geometrical procedure for blind separation of sources. 23-27 - Witali L. Dunin-Barkowski, Natali B. Osovets:
Hebb-Hopfield neural networks based on one-dimensional sets of neuron states. 28-31
Volume 2, Number 6, December 1995
- Yannis Dimopoulos, Paul Bourret, Sovan Lek:
Use of some sensitivity criteria for choosing networks with good generalization ability. 1-4 - Giovanna Castellano, Anna Maria Fanelli, Marcello Pelillo:
Iterative pruning in second-order recurrent neural networks. 5-8 - Jianfeng Feng:
Establishment of topological maps - a model study. 9-12 - A. J. M. M. Weijters:
The BP-SOM architecture and learning rule. 13-16 - Ryotaro Kamimura, Shohachiro Nakanishi:
Feature detectors by autoencoders: Decomposition of input patterns into atomic features by neural networks. 17-22 - Simon R. Schultz, Marwan A. Jabri:
A silicon basis for synaptic plasticity. 23-27 - Huaiyu Zhu, Richard Rohwer:
Bayesian invariant measurements of generalization. 28-31
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