The Use of Artificial Intelligence on the Planetary Gravitational Field for Earthquake Forecasting

The fluctuating planetary gravitational field not only influences activities on the sun, but also has an impact on the earth. A special correlation function describes the harmonics of these fluctuations. Groups of earthquakes form oscillation patterns that differ significantly from randomly selected control groups. These patterns are suitable as an element of an AI for earthquake probability. From a list of earthquakes (Earthquakes of magnitude 6.5 or greater or ones that caused fatalities, injuries or substantial damage. BRK: Berkeley. PAS: Pasadena.) in the time period 1997-01-05 to 2002-06-18, a pattern for calculating the change in the probability of earthquakes was optimized. This AI pattern is applied to the top 20 earthquakes of 2023 in this article. It shows the suitability of this method for forecasting earthquakes in a larger AI system.

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Publication Details

Journal
Journal of High Energy Physics Gravitation and Cosmology
Published
2025-01-01
DOI
https://doi.org/10.4236/jhepgc.2025.112020
Primary Topic
Statistical and numerical algorithms
Type
article
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article

The Use of Artificial Intelligence on the Planetary Gravitational Field for Earthquake Forecasting

Michael E. Nitsche
Journal of High Energy Physics Gravitation and Cosmology
Statistical and numerical algorithms
article

The Use of Artificial Intelligence on the Planetary Gravitational Field for Earthquake Forecasting

Michael E. Nitsche
article en

Abstract

The fluctuating planetary gravitational field not only influences activities on the sun, but also has an impact on the earth. A special correlation function describes the harmonics of these fluctuations. Groups of earthquakes form oscillation patterns that differ significantly from randomly selected control groups. These patterns are suitable as an element of an AI for earthquake probability. From a list of earthquakes (Earthquakes of magnitude 6.5 or greater or ones that caused fatalities, injuries or substantial damage. BRK: Berkeley. PAS: Pasadena.) in the time period 1997-01-05 to 2002-06-18, a pattern for calculating the change in the probability of earthquakes was optimized. This AI pattern is applied to the top 20 earthquakes of 2023 in this article. It shows the suitability of this method for forecasting earthquakes in a larger AI system.

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The Use of Artificial Intelligence on the Planetary Gravitational Field for Earthquake Forecasting — Michael E. Nitsche · Journal of High Energy Physics Gravitation and Cosmology (2025) | TGRS Research Map | TGRS