One-dimensional magnetotelluric anisotropic inversion using an encoder–decoder neural network

Key Points

• The encoder-decoder neural network achieves accurate magnetotelluric anisotropic inversion.
• Results indicate enhanced inversion accuracy metrics, including a reduction of error rates by 20%.
• Observational analysis utilizes machine learning techniques to interpret geophysical data effectively.
• Implications highlight the potential for advancing geophysical modeling techniques in various applications.