• Produktbild: Accuracy Improvements in Linguistic Fuzzy Modeling
  • Produktbild: Accuracy Improvements in Linguistic Fuzzy Modeling
Band 129

Accuracy Improvements in Linguistic Fuzzy Modeling

151,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.12.2010

Abbildungen

XII, 64 illus., schwarz-weiss Illustrationen

Herausgeber

Jorge Casillas + weitere

Verlag

Springer Berlin

Seitenzahl

385

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

611 g

Auflage

Softcover reprint of hardcover 1st ed. 2003

Sprache

Englisch

ISBN

978-3-642-05703-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.12.2010

Abbildungen

XII, 64 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer Berlin

Seitenzahl

385

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

611 g

Auflage

Softcover reprint of hardcover 1st ed. 2003

Sprache

Englisch

ISBN

978-3-642-05703-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Accuracy Improvements in Linguistic Fuzzy Modeling
  • Produktbild: Accuracy Improvements in Linguistic Fuzzy Modeling
  • Overview.- Accuracy Improvements to Find the Balance Interpretability-Accuracy in Linguistic Fuzzy Modeling: An Overview.- Accuracy Improvements Constrained by Interpretability Criteria.- COR Methodology: A Simple Way to Obtain Linguistic Fuzzy Models with Good Interpretability and Accuracy.- Constrained optimization of genetic fuzzy systems.- Trade-off between the Number of Fuzzy Rules and Their Classification Performance.- Generating distinguishable, complete, consistent and compact fuzzy systems using evolutionary algorithms.- Fuzzy CoCo: Balancing Accuracy and Interpretability of Fuzzy Models by Means of Coevolution.- On the Achievement of Both Accurate and Interpretable Fuzzy Systems Using Data-Driven Design Processes.- Extending the Modeling Process to Improve the Accuracy.- Linguistic Hedges and Fuzzy Rule Based Systems.- Automatic Construction of Fuzzy Rule-Based Systems: A trade-off between complexity and accuracy maintaining interpretability.- Using Individually Tested Rules for the Data-based Generation of Interpretable Rule Bases with High Accuracy.- Extending the Model Structure to Improve the Accuracy.- A description of several characteristics for improving the accuracy and interpretability of inductive linguistic rule learning algorithms.- An Iterative Learning Methodology to Design Hierarchical Systems of Linguistic Rules for Linguistic Modeling.- Learning Default Fuzzy Rules with General and Punctual Exceptions.- Integration of Fuzzy Knowledge.- Tuning fuzzy partitions or assigning weights to fuzzy rules: which is better?.