Advanced Supervised Learning in Multi-layer Perceptrons - From Backpropagation to Adaptive Learning Algorithms (1994)

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by Martin Riedmiller
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224 A Survey of Evolution Strategies – Thomas Bäck, Frank Hoffmeister, Hans-Paul Schwefel - 1991
MIT Press Math6X9/2001/02/08:14:23 Page 109 5 Evolving Neuro-Controllers and Sensors for Artificial Agents – Karthik Balakrishnan, Vasant Honavar
Fast robust MEG source localization using MLPs – Sung Chan Jun, Barak A. Pearlmutter, Guido Nolte - 2002
Instructable and Adaptive Web Agents that Learn to Retrieve and Extract Information – Tina Eliassi-rad, Jude Shavlik - 2000
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An Evolutionary Approach to the Automatic Design of Ensembles of Neural Network Classifiers – Pete Duell - 2005
Fuzzy/Neural Drive Control of an Autonomous Vehicle (Extended Abstract) – Bernd Freisleben, Thomas Kunkelmann
Comparison, Categorization, and Perceptual Dimensions: A Connectionist Model of the Development of the Notion of Sameness – Michael Gasser, Linda B. Smith
Predicting Sunspot Numbers – Jari Kyngäs, Juha Hakkarainen - 1996
A Comparative Study On Hybrid Acoustic Phonetic Decoders Based On Artificial Neural Networks – Yoshua Bengio, Renato De Mori, Giovanni Flammia, Ralf Kompe - 1991
Neural Networks – Roland Baddeley
Results from a MA16-based neural trigger in an experiment looking for beauty – Baldanza Beichter, C. Baldanza A, F. Bisi A, N. Bruels B, L. Malferrari A, P. Mazzanti A, P. Musico C, P. Novelli C, F. Odorici A, R. Odorico A, M. Passaseo D, M. Zuffa
Networks Which Learn to Store Variable-Length Sequences in a Fixed Set of Unit Activations – Tony A. Plate - 1995
Distal Supervised Learning for Solving Inverse Kinematic Problems – Daniel Nikovski, Sridhar Ramakrishna, Rajani Kanth Koneru, Srinivas Jamhed - 1994
EDITORIAL Exploratory Research in Machine Learning – Exploratory Research
Bibliography – Aarts And Korst, J. Korst Simulated Annealing
A Comparison of Training Methods for Preferential Neural Networks – Aleksandar M. Erdeljan, Jozo J. Dujmovic
Classification of Seismic Signals by Integration of Neural Networks' Ensembles – Yair Shimshoni, Nathan Intrator
Learning in Neural Networks and an Integrable System – Kenji Fukumizu