Näytetään 1 - 10 yhteensä 10 tuloksesta haulle '"Fuzzy inference system."', hakuaika: 0,02s Tarkenna hakua
  1. 1

    Application of adaptive network fuzzy inference system to die shape optimal design in sheet metal bending process. Tekijä Yeh, Fung-Huei

    Artikkeli

    Application of adaptive network fuzzy inference system to die shape optimal design in sheet metal bending process.
  2. 2

    Intention detection using a neuro-fuzzy EMG classifier. Tekijä Hussein, S.E

    Artikkeli

    Intention detection using a neuro-fuzzy EMG classifier.
  3. 3

    Adaptive-tree-structure-based fuzzy inference system. Tekijä Jianqin Mao

    Artikkeli

    Adaptive-tree-structure-based fuzzy inference system.
  4. 4

    Control of convergence in a computational fluid dynamics simulation using ANFIS. Tekijä Juntaek Ryoo

    Artikkeli

    Control of convergence in a computational fluid dynamics simulation using ANFIS.
  5. 5

    An input-output clustering approach to the synthesis of ANFIS networks. Tekijä Panella, M.

    Artikkeli

    An input-output clustering approach to the synthesis of ANFIS networks.
  6. 6

    Fuzzy CoCo a cooperative-coevolutionary approach to fuzzy modeling. Tekijä Pena-Reyes, C.A

    Artikkeli

    Fuzzy CoCo a cooperative-coevolutionary approach to fuzzy modeling.
  7. 7

    Designing fuzzy inference systems from data An interpretability-oriented review. Tekijä Guillaume, S.

    Artikkeli

    Designing fuzzy inference systems from data An interpretability-oriented review.
  8. 8

    An adaptive neuro-fuzzy inference system (ANFIS) approach to waste mobile phone estimation in the Philippines Tekijä Saludes, Roxanne Z.

    Opinnäyte

    An adaptive neuro-fuzzy inference system (ANFIS) approach to waste mobile phone estimation in the Philippines
  9. 9

    An adaptive fuzzy hybrid state observer for bioprocesses. Tekijä Ascencio, P.

    Artikkeli

    An adaptive fuzzy hybrid state observer for bioprocesses.
  10. 10

    A characteristic-point-based fuzzy inference system aimed to minimize the number of fuzzy rules. Tekijä Tang-Kai Yin

    Artikkeli

    A characteristic-point-based fuzzy inference system aimed to minimize the number of fuzzy rules.

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