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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.


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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Edgar Körner and Gen Matsumoto, "Cortical architecture and self-referential control for brain-like processing in artificial neural systems", Artificial life and robotics, vol. 2, no. 3, pp. 170–178, 1998.

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Edgar Körner, "Synchronization of Decision Processes - But Not of Spikes: Gamma Paced Temporal Encoding in Model Cortical Columns", Bochum-Tamagawa Brain Forum, 1997.

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Edgar Körner and Ursula Körner, "Concurrent Parallel-Sequential Processing in Gamma Controlled Cortical-Type Networks of Spiking Neurones", Proc. International Conference on Artificial Neural Networks, pp. 91–96, 1997.

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Edgar Körner, Hiroshi Tsujino, Tomohiko Masutani, "A Cortical-type Modular Neural Network for Hypothetical Reasoning", Neural Networks, vol. 10, no. 5, pp. 791–814, 1997.

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