M. Schmitt, T. Ullrich, and H. Tolle. Associative datafields in automotive control. In 3rd IEEE Conference on Control Applications, pages 1239--1244, Glasgow (UK), 1994. Home/Search Document Details and Download
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IMACS/IEEE-SMC Multiconference CESA 96 - Symp. on.. - Learning Non-Linear Maps Self-citation (Ullrich) (Correct)
....for the modelled function at the position x. Since the set of nodes do not imply any topological information, the selection of nodes used for output computation (active nodes) at a given input vector x q 2 I ae IR (also referred to as query point) can either be based on proximity criteria [1] or requires the a priori definition of topological relations of the nodes. In this paper, the latter strategy is pursued: a tool from computational geometry, the Delaunay triangulation [2] is used to define an appropriate network topology. 2.1 The Delaunay triangulation The Delaunay ....
M. Schmitt, T. Ullrich, and H. Tolle. Associative datafields in automotive control. In 3rd IEEE Conference on Control Applications, pages 1239--1244, Glasgow (UK), 1994.
Delaunay Networks for Modelling of Non-Linear Processes - Ullrich, Tolle (1996) (1 citation) Self-citation (Ullrich Tolle) (Correct)
....needed. In state of the art systems, like ignition and injection control units, so called lattice like datafields are implemented. These structures realize a mapping of two input signals to a single valued output. Internally they consist of a number of datapoints located on a two dimensional grid [1]. The essential drawback of this approach is the fact that memory expense grows exponentially with the number of inputs. That is why practical implementations do not consider more than two input signals. Dipl. Ing. T. Ullrich works at Darmstadt University of Technology , Institute of Control ....
M. Schmitt, T. Ullrich, and H. Tolle. Associative datafields in automotive control. In 3rd IEEE Conference on Control Applications, pages 1239--1244, Glasgow (UK), 1994.
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