Wissensverarbeitung in neuronaler Architektur

Im Rahmen eines vom BMFT geforderten Verbundprojektes „Wissensverarbeitung in neuronaler Architektur“ wird die Integration konnektionistischer Modelle mit symbolischer Wissensverarbeitung erforscht. Die anvisierten Bereiche fur eine Integration sind: probabilistisches Schliesen, die Einbeziehung. nichtsymbolischer Wissensquellen (Daten aus physikalischen Prozessen; Mesdaten), eine Uberfuhrung gelernten Wissens in symbolische Form (maschinelles Lernen, Regelextraktion) und Information Retrieval.

[1]  Gèunther Palm,et al.  Neural Assemblies: An Alternative Approach to Artificial Intelligence , 1982 .

[2]  Alfred Ultsch,et al.  CONKAT: a connectionist knowledge acquisition tool , 1991, Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences.

[3]  Erkki Oja,et al.  Neural Networks, Principal Components, and Subspaces , 1989, Int. J. Neural Syst..

[4]  G Palm,et al.  Assoziatives Gedächtnis und Gehirntheorie , 1988 .

[5]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[6]  Karl Goser,et al.  Digital VLSI Implementations of an Associative Memory Based on Neural Networks , 1991 .

[7]  Charles T. Zahn,et al.  Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters , 1971, IEEE Transactions on Computers.

[8]  Kurt Hornik,et al.  Neural networks and principal component analysis: Learning from examples without local minima , 1989, Neural Networks.

[9]  Ulrich Rückert.  VLSI Implementation of an Associative Memory Based on Distributed Storage of Information , 1990, EURASIP Workshop.

[10]  Hendrik James Antonisse,et al.  Genetic Operators for High-Level Knowledge Representations , 1987, ICGA.

[11]  Alfred Ultsch,et al.  Kohonen Networks on Transputers: Implementation and Animation , 1990 .

[12]  John W. Sammon,et al.  A Nonlinear Mapping for Data Structure Analysis , 1969, IEEE Transactions on Computers.

[13]  Klaus Schumacher,et al.  VLSI technologies for artificial neural networks , 1989, IEEE Micro.

[14]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[15]  Gautam Biswas,et al.  Evaluation of Projection Algorithms , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  G. Hartmann,et al.  Parallel Processing in Neural Systems and Computers , 1990 .

[17]  E. Oja.  Simplified neuron model as a principal component analyzer , 1982, Journal of mathematical biology.

[18]  G Palm,et al.  Computing with neural networks. , 1987, Science.

[19]  Günther Palm,et al.  Local rules for synaptic modification in neural networks , 1993 .

[20]  Alfred Ultsch.  Control for knowledge based information retrieval , 1987 .

[21]  Günther Palm,et al.  Information storage and effective data retrieval in sparse matrices , 1989, Neural Networks.

[22]  Michael R. Anderberg,et al.  Cluster Analysis for Applications , 1973 .

[23]  Ulrich Rückert,et al.  VLSI Design of Neural Networks , 1990 .

[24]  Michael R. Genesereth,et al.  Logical foundations of artificial intelligence , 1987 .

[25]  J. MacQueen.  Some methods for classification and analysis of multivariate observations , 1967 .

[26]  George L. Gerstein,et al.  From Neuron to Assembly: Neuronal Organization and Stimulus Representation , 1986 .

[27]  Stephanie Forrest,et al.  Implementing Semantic Network Structures Using the Classifier System , 1985, ICGA.

[28]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .