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Forecasting Catastrophic Events in Technology, Nature and Medicine [electronic resource] / by Anton Panda, Volodymyr Nahornyi.

By: Panda, Anton [author.].
Contributor(s): Nahornyi, Volodymyr [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Computational Intelligence: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XVII, 97 p. 75 illus., 51 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030653286.Subject(s): Engineering mathematics | Dynamics | Nonlinear theories | Computational intelligence | Engineering Mathematics | Applied Dynamical Systems | Computational IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 620.00151 Online resources: Click here to access online
Contents:
Introduction -- Analysis of current state of forecasting objects and phenomena -- Specification of problems solutions -- Application of the developed forecasting methodology in various spheres of human activity -- Conclusion -- References.
In: Springer Nature eBookSummary: This book presents a methodology for forecasting events and phenomena occurring in technology and natural environments. The methodology is based on forecasting the individual state of the control object, which is carried out based on the analysis of the trend behavior of the controlled parameter (symptom of the disease). The methodology helps determining the time of the onset of a destructive earthquake, its strength and the coordinates of the epicentre, predicting the time of the descent of glaciers and landslides long before the event. In medicine, the methodology predicts the severity of a disease and forecast of its aggravation.
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Introduction -- Analysis of current state of forecasting objects and phenomena -- Specification of problems solutions -- Application of the developed forecasting methodology in various spheres of human activity -- Conclusion -- References.

This book presents a methodology for forecasting events and phenomena occurring in technology and natural environments. The methodology is based on forecasting the individual state of the control object, which is carried out based on the analysis of the trend behavior of the controlled parameter (symptom of the disease). The methodology helps determining the time of the onset of a destructive earthquake, its strength and the coordinates of the epicentre, predicting the time of the descent of glaciers and landslides long before the event. In medicine, the methodology predicts the severity of a disease and forecast of its aggravation.

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