Modeling of Complex Processes and Systems

Beschreibung

Modeling of Complex Processes and Systems: An Integrated Approach from Measurement to Cognition, provides a broad coverage of the experimental, analytical, and computational subjects included in the modeling of complex phenomena, including fundamental principles and practical applications. The book reviews the varied causes of complication and complexity and shows the convenient approaches to the study of complex phenomena. Also presented is a structured collection of modeling methods and tools from fields like: Measurement Science, Statistics, Signal Processing, Dynamical Systems Theory, and Artificial Intelligence. The material is structured around the scientific discovery methodology: each method is introduced to reduce the degree of complexity resulting from the application of a previous one. Thus, the book offers an integrated approach for building models in complex situations, which is a helpful resource for understanding and predicting the behavior of complex processes and systems.
Modeling of Complex Processes and Systems: An Integrated Approach from Measurement to Cognition, provides a broad coverage of the experimental, analytical, and computational subjects included in the modeling of complex phenomena, including fundamental principles and practical applications. The book reviews the varied causes of complication and complexity and shows the convenient approaches to the study of complex phenomena. Also presented is a structured collection of modeling methods and tools from fields like: Measurement Science, Statistics, Signal Processing, Dynamical Systems Theory, and Artificial Intelligence. The material is structured around the scientific discovery methodology: each method is introduced to reduce the degree of complexity resulting from the application of a previous one. Thus, the book offers an integrated approach for building models in complex situations, which is a helpful resource for understanding and predicting the behavior of complex processes and systems.

Comprehensive perspective of the predictive modeling of complicated and complex processes and systems

Provides real examples and showing which situations each technique and method are best suitable for Introduces concepts and the natural way for progressing from data to knowledge

Integrated approach linking concepts and methods from fields that traditionally have been separately introduced

Autor*in

Luis J. Barrios

Themen in »Modeling of Complex Processes and Systems«

Cognitive Systems Complex systems Dynamic Systems Theory Dynamic systems Inverse modeling Machine Learning Non-linear Dynamic Systems Pattern recognition computational methods data acquisition systems modeling of complex systems

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