Volume 2, Number 1, January 1995

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  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

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  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, Serge Bruyndonckx, Serge Comes, Benoit M. 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

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  Shigetaka Fujita, Haruhiko Nishimura: Evolving neural networks with iterative learning scheme for associative memory. 1-5
• 
  F. 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

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  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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