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Andrea Vogel, Christian Goerick, Werner von Seelen, "Evolutionary Algorithms for Optimizing Traffic Signal Operation", ESIT 2000 - Proceedings of the European Symposium on Intelligent Technique, 2000.



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Yaochu Jin, "Fuzzy Modeling of High-Dimensional Systems: Complexity Reduction and Interpretability Improvement", IEEE Transactions on Fuzzy Systems, vol. 8, no. 2, pp. 212–220, 2000.



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Christian Goerick, "Analyzing Learning Dynamics: How to Average?", IJCNN2000, Proceedings of the International Joint Conference on Artificial Neural Networks, 2000.



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Michael Hüsken and Christian Goerick, "Fast Learning for Problem Classes using a Knowledge Based Network Initialization", IJCNN2000, Proceedings of the International Joint Conference on Artificial Neural Networks, 2000.



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Yaochu Jin and Bernhard Sendhoff, "Knowledge Incorporation into Neural Networks From Fuzzy Rules", Neural Processing Letters, vol. 10, no. 3, pp. 231–242, 1999.



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Markus Diesmann, Marc-Oliver Gewaltig, Ad Aertsen, "Stable propagation of synchronous spiking in cortical neural networks", Nature, vol. 402, pp. 529–533, 1999.



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Bernhard Sendhoff and Martin Kreutz, "A model for the dynamic interaction between evolution and learning", Neural Processing Letters, vol. 10, no. 3, pp. 181–193, 1999.



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Edgar Körner, Marc-Oliver Gewaltig, Ursula Körner, Andreas Richter, Tobias Rodemann, "A Model of Computation in Neocortical Architecture", Neural Networks, vol. 12, pp. 989–1006, 1999.



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Bernhard Sendhoff and Martin Kreutz, "Variable encoding of modular neural networks for time series prediction", Congress on Evolutionary Computation CEC, pp. 259-266, 1999.



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Yaochu Jin, Werner von Seelen, Bernhard Sendhoff, "On Generating FC^3 Fuzzy Rule Systems From Data Using Evolution Strategies", IEEE Transactions on Systems, Man and Cybernetics, Part B, vol. 29, no. 4, pp. 829-845, 1999.

Abstract

Sophisticated fuzzy rule systems are supposed to be flexible, complete, consistent and compact (FC^3). Flexibility, completeness and consistency are essential for fuzzy systems to exhibit an excellent performance and to have a clear physical meaning, while compactness is crucial when the number of the input variables increases. However, the completeness and consistency conditions are often violated if a fuzzy system is generated from data collect...



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