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Self-Organizing Modeling.pdf

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Preview of Self-Organizing Modeling
🔗 Source: c.mql5.com
📊 Size: 272 KB
👤 Author: J.-A. Mueller, G.A. Ivakhnenko
⬇️ Downloads: 126

Summary

Il problema della modellazione di oggetti complessi, come ad esempio l'analisi e la previsione dei mercati finanziari, non può essere risolto con metodi deduttivi logico-matematici a causa della grande quantità di variabili, della scarsità di informazioni e della presenza di rumore e dati incompleti. Il metodo del Group Method of Data Handling (GMDH) è un approccio induttivo che consente di estrarre conoscenza direttamente dai dati e di costruire modelli matematici in modo automatico. Il GMDH è stato utilizzato per risolvere problemi di modellazione, previsione, identificazione e approssimazione di processi complessi e ha dimostrato di essere efficace nel trattare dati rumorosi e incompleti. Il metodo consente di trovare il modello ottimale tra una serie di candidati e di valutare la sua accuratezza utilizzando criteri esterni. Il GMDH è stato applicato con successo in diversi campi, tra cui la previsione dei mercati finanziari, la diagnosi medica e il riconoscimento di pattern.

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Description

Il problema della modellazione di oggetti complessi, come ad esempio l'analisi e la previsione dei mercati finanziari, non può essere risolto con metodi...

Technical Information

  • File Format: PDF
  • File Size: 272 KB
  • Pages: 29
  • Language: IT
  • Author: J.-A. Mueller, G.A. Ivakhnenko
  • Total Downloads: 126
  • Last Updated: 3 hours ago

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This PDF document about Self-Organizing Modeling provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Self-Organizing Modeling.

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