About this document
Bayesian Neural Network for Vibration Prediction by marwa Banawaz is a document available to read on EtoBox.
The document presents descriptive statistics for various input and output variables related to ground vibration data, including mean, standard deviation, and percentiles. It discusses the application of Artificial Neural Networks (ANNs) for predicting peak particle velocity (PPV) based on input parameters, emphasizing the flexibility of ANNs in handling complex relationships without prior knowledge. Additionally, it introduces Bayesian Neural Networks (BNNs) and the Levenberg–Marquardt algorithm as advanced
- Author
- marwa Banawaz
- Language
- EN