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Abstract: Process changes, such as flow disturbances and sensor noise, are common in the chemical and metallurgical industries. To maintain optimal performance, the controlling system has to adapt continuously to these changes. (Update)
Context of citations to this paper: More
.... topography selection [15, 37, 57] The recent EC technique of PSO [27] has also proved popular as a uni objective NN optimiser [10, 12, 13, 26, 48]. 2 Multi objective evolutionary neural network flamework The use of evolutionary approaches to NN training (with a single...
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BibTeX entry: (Update)
A.V.E. Conradie, R. Miikkulainen, and C. Aldrich. Adaptive Control utilising Neural Swarming. In Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 2002. http://citeseer.ist.psu.edu/conradie02adaptive.html More
@misc{ conradie02adaptive,
author = "A. Conradie and R. Miikkulainen and C. Aldrich",
title = "Adaptive Control utilising Neural Swarming",
text = "A.V.E. Conradie, R. Miikkulainen, and C. Aldrich. Adaptive Control utilising
Neural Swarming. In Proceedings of the Genetic and Evolutionary Computation
Conference, New York, USA, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/conradie02adaptive.html" }
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