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Time-Series Prediction and Applications
Time-Series Prediction and Applications
364,58
405,09 €
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An Introduction to Time-Series Prediction.- Prediction Using Self-Adaptive Interval Type-2 Fuzzy Sets.- Handling Multiple Factors in the Antecedent of Type-2 Fuzzy Rules.- Learning Structures in an Economic Time-Series for Forecasting Applications.- Grouping of First-Order Transition Rules for Time-Series Prediction by Fuzzy-induced Neural Regression.- Conclusions and Future Directions.
405.09
  • Publisher:
  • Year: 2017
  • ISBN-10: 3319545965
  • ISBN-13: 9783319545967
  • Format: 15.6 x 23.4 x 1.6 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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An Introduction to Time-Series Prediction.- Prediction Using Self-Adaptive Interval Type-2 Fuzzy Sets.- Handling Multiple Factors in the Antecedent of Type-2 Fuzzy Rules.- Learning Structures in an Economic Time-Series for Forecasting Applications.- Grouping of First-Order Transition Rules for Time-Series Prediction by Fuzzy-induced Neural Regression.- Conclusions and Future Directions.

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  • Author: Amit Konar
  • Publisher:
  • Year: 2017
  • ISBN-10: 3319545965
  • ISBN-13: 9783319545967
  • Format: 15.6 x 23.4 x 1.6 cm, kieti viršeliai
  • Language: English English

An Introduction to Time-Series Prediction.- Prediction Using Self-Adaptive Interval Type-2 Fuzzy Sets.- Handling Multiple Factors in the Antecedent of Type-2 Fuzzy Rules.- Learning Structures in an Economic Time-Series for Forecasting Applications.- Grouping of First-Order Transition Rules for Time-Series Prediction by Fuzzy-induced Neural Regression.- Conclusions and Future Directions.

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