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210407 ||| eng |
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|a 9783030653286
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100 |
1 |
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|a Panda, Anton
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245 |
0 |
0 |
|a Forecasting Catastrophic Events in Technology, Nature and Medicine
|h Elektronische Ressource
|c by Anton Panda, Volodymyr Nahornyi
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250 |
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|a 1st ed. 2021
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260 |
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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300 |
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|a XVII, 97 p. 75 illus., 51 illus. in color
|b online resource
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505 |
0 |
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|a 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
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653 |
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|a Engineering mathematics
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653 |
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|a Computational intelligence
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653 |
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|a Applied Dynamical Systems
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653 |
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|a Computational Intelligence
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653 |
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|a Nonlinear theories
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653 |
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|a Engineering Mathematics
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653 |
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|a Dynamics
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700 |
1 |
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|a Nahornyi, Volodymyr
|e [author]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
0 |
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|a SpringerBriefs in Computational Intelligence
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028 |
5 |
0 |
|a 10.1007/978-3-030-65328-6
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-65328-6?nosfx=y
|x Verlag
|3 Volltext
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082 |
0 |
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|a 62,000,151
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520 |
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|a 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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