Optimized Bayesian Dynamic Advising (eBook, PDF)

Theory and Algorithms
Redaktion: Karny, Miroslav

• Format: PDF

Produktbeschreibung

A state-of-the-art research monograph providing consistent treatment of supervisory control - an area which has seen little thorough and consistent theoretical framework coverage. Additional added value of the book arises from scientific treatment of the role of the operator in process supervision, thus making a significant contribution to the design of anthropocentric automation systems.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 529
• Erscheinungstermin: 19. Dezember 2005
• Englisch
• ISBN-13: 9781846282546
• Artikelnr.: 37364799

Autorenporträt

Miroslav Karny, Academy of Sciences of the Czech Republic, Prague, Czech Republic

Inhaltsangabe

Introduction.- Underlying Theory.- Approximate and Feasible Learning.- Approximate Design.- Problem Formulation.- Solution and Principles of its Approximation: Learning.- Solution and Principles of its Approximation: Design.- Learning with Normal Factors and Components.- Design with Normal Mixtures.- Learning with Markov Chain Factors and Components.- Design with Markov Chain Mixtures.- Sandwich BMTB for Mixture Initiation.- Mixed Mixtures.- Applications of the Advisory System.- Conclusions.- References.- Index.