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Titlebook: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications; Okyay Kaynak,Lotfi A. Zadeh,Imre J. Rudas Confer

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21#
發(fā)表于 2025-3-25 06:54:57 | 只看該作者
22#
發(fā)表于 2025-3-25 09:54:52 | 只看該作者
23#
發(fā)表于 2025-3-25 12:10:53 | 只看該作者
0258-1248 n industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.978-3-642-63796-4978-3-642-58930-0Series ISSN 0258-1248
24#
發(fā)表于 2025-3-25 16:55:14 | 只看該作者
Ziele der Unternehmenssteuerung ubiquity of intelligent systems is certain to have a profound impact on the ways in which man-made intelligent systems are conceived, designed, manufactured, employed and interacted with. It is in this perspective that the basic issues relating to soft computing and intelligent systems are addressed in this paper.
25#
發(fā)表于 2025-3-25 23:12:46 | 只看該作者
Qualifikationen von Führungskr?ftencal results presented are applied to the real unit interval and to the real unit hypercube. In the latter case, particular attention is paid to pointwise extensions of t-norms defined on the real unit interval and the corresponding residual operators.
26#
發(fā)表于 2025-3-26 03:09:35 | 只看該作者
27#
發(fā)表于 2025-3-26 07:02:26 | 只看該作者
28#
發(fā)表于 2025-3-26 10:21:52 | 只看該作者
Sup-T Equations: State of the Art,cal results presented are applied to the real unit interval and to the real unit hypercube. In the latter case, particular attention is paid to pointwise extensions of t-norms defined on the real unit interval and the corresponding residual operators.
29#
發(fā)表于 2025-3-26 14:37:54 | 只看該作者
Neuro-Fuzzy Systems,h enable them to determine their parameters from training data in an iterative process. From our point of view . means using heuristic learning strategies derived from the domain of neural network theory to support the development of a fuzzy system.
30#
發(fā)表于 2025-3-26 17:17:45 | 只看該作者
Unternehmensethik und strategische Planungzzy system model development is proposed with proper learning in order to adapt to an actual system performance output. In this approach, connectives are not chosen a priori but learned with an iterative training depending on a given data set.
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