Classification of non-linear-separable real-world-problems using Δ-rule, perceptrons, and topologically distributed encoding. - Martin Eldracher (SAC, 1992)

1992 Symposium on Applied Computing (SAC '92). - Martin Eldracher (Künstliche Intell., 1992)

Classification of non-linear separable real world problems using Δ-rule [delta rule], perceptrons, and topologically distributed encoding - Martin Eldracher (Forschungsberichte, TU Munich, 1992)

Concept of an integrated trajectory generation system - Martin Eldracher; Daniel Hernández 001; Margit Kinder (Forschungsberichte, TU Munich, 1992)

Neuro Nimes 92. - Martin Eldracher (Künstliche Intell., 1993)

Planung kinematischer Trajektorien für Manipulatoren mit Hilfe von Subzielen und neuronalen Netzen. - Martin Eldracher (Infix, 1996)

Semilinear Predictability Minimization Produces Well-Known Feature Detectors. - Jürgen Schmidhuber; Martin Eldracher; Bernhard Foltin (Neural Comput., 1996)

Path Planning Using a Subgoal Graph. - Martin Eldracher; Thomas Pic (Foundations of Computer Science: Potential - Theory - Cognition, 1997)

Adaptive Encoding Strongly Improves Function Approximation with CMAC. - Martin Eldracher; Alexander Staller; René Pompl (Neural Comput., 1997)