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Titlebook: Intelligent Control Based on Flexible Neural Networks; Mohammad Teshnehlab,Keigo Watanabe Book 1999 Springer Science+Business Media B.V. 1

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Mohammad Teshnehlab,Keigo Watanaber. Dabei handelt es sich um Kooperations-, Vertriebs-, Preis- sowie Produktions- bzw. Industrialisierungsstrategien. Ob ERP-Software, Office-Anwendungen, Open-Source-Produkte oder Online-Spiele: Software unterscheidet sich im Hinblick auf ihre ökonomischen Eigenschaften grundsätzlich von Industriegü
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Introduction,ms have been designed to treat systems requiring complex control actions, mainly due to existing uncertainties of their dynamics and their relation with the environment. The systems have been endowed with capabilities of conditional decision making under unknown environmental circumstances. However,
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Flexible Neural Networks,ystems as discussed in Chapter 2: the multi-layered feedforward, the Kohonen’s self-organizing map [1], the Hopfield network [2] and the Boltzmann machine [3], etc. These types of NNs are based on biological nervous system. The layered structure of parts of the brain, and multilayer (instead of sing
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Self-Tuning Computed Torque Control: Part I,orward, the Kohonen’s self-organizing map, the Hopfield network, the Boltzmann machine, etc.. These types of NNs are based on the biological nervous systems. The layered structure of parts of the brain, and multilayer (instead of single layer) arrangement of neurons in biological systems comprise th
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Development of An Inverse Dynamic Model,desired output of the system. In many cases, the inverse model problem is very difficult, and sometimes impossible to determine and implement. There are some methods to make an inverse dynamic model, such as computed torque control, which had been studied in the previous Chapters. The capability of
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