| 1995 | Constructing feed-forward neural networks for binary classification tasks. | Colin Campbell, Conrado J. Prez Vicente |
| 1995 | An episodic knowledge base for object understanding. | Ulf-Dietrich Braumann, Hans-Joachim Bhme, Horst-Michael Gross |
| 1995 | XOR and backpropagation learning: in and out of the chaos? | Koen Bertels, Luc Neuberg, Stamatis Vassiliadis, D. G. Pechanek |
| 1995 | Analog Brownian weight movement for learning of artificial neural networks. | M. R. Belli, Massimo Conti, Claudio Turchetti |
| 1995 | Knowledge and generalisation in simple learning systems. | David Barber, David Saad |
| 1995 | Functional approximation by perceptrons: a new approach. | Jean-Gabriel Attali, Gilles Pags |
| 1995 | Trimming the inputs of RBF networks. | Colin Andrew, Miroslav Kubat, Gert Pfurtscheller |
| 1995 | On threshold circuit depth. | Andreas Alexander Albrecht |
| 1994 | Projection learning: alternative approaches to the computation of the projection. | Konrad Weigl, Marc Berthod |
| 1994 | An optimized RBF network for approximation of functions. | Michel Verleysen, Katerina Hlavckov |
| 1994 | Extending immediate reinforcement learning on neural networks to multiple actions. | Claude F. Touzet |
| 1994 | Input Parameters' estimation via neural networks. | Igor V. Tetko, Alexander I. Luik |
| 1994 | Stability analysis of diagonal recurrent neural networks. | Yonghong Tan, Mia Loccufier, Robin De Keyser, Erik Noldus |
| 1994 | Improvement of learning results of the selforganizing map by calculating fractal dimensions. | Heike Speckmann, Gnter Raddatz, Wolfgang Rosenstiel |
| 1994 | Reinforcement learning and neural reinforcement learning. | Samira Sehad, Claude F. Touzet |
| 1994 | A stop criterion for the Boltzmann machine learning algorithm. | Berthold Ruf |
| 1994 | Stochastic model of odor intensity coding in first-order olfactory neurons. | Jean-Pierre Rospars, Petr Lnsk |
| 1994 | Visualizing the learning process for neural networks. | Ral Rojas |
| 1994 | Dynamic pattern selection for faster learning and controlled generalization of neural networks. | Axel Rbel |
| 1994 | A lateral contribution learning algorithm for multi MLP architecture. | Nicolas Pican, Jean-Claude Fort, Frdric Alexandre |
| 1994 | A discriminative HCNN modeling. | Bojan Petek |
| 1994 | Biologically plausible hybrid network design and motor control. | Gregory R. Mulhauser |
| 1994 | Improving piecewise linear separation incremental algorithms using complexity reduction methods. | Juan Manuel Moreno, Francisco Castillo, Joan Cabestany |
| 1994 | Analysis of critical effects in a stochastic neural model. | W. Mommaerts, Edward C. van der Meulen, Tatyana S. Turova |
| 1994 | Memory, learning and neuromediators. | Alexander S. Mikhailov |