A soft ground micro TBM’s specific energy prediction using an eXplainable neural network through Shapley additive explanation and Optuna
Sign Up to like & getrecommendations! Published in 2024 at "Bulletin of Engineering Geology and the Environment"
DOI: 10.1007/s10064-024-03670-5
Abstract: In tunnel construction, efficiently predicting the energy usage of tunnel boring machines (TBMs) is critical for optimizing operations and reducing costs. This research proposes a novel method for predicting the specific energy of micro slurry… read more here.
Keywords: explainable neural; energy; xnn; specific energy ... See more keywords
Solar irradiance forecasting based on direct explainable neural network
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.113487
Abstract: Abstract As the penetration of solar energy into electrical power and energy system expands in recent years over the world, accurate solar irradiance forecasting is becoming highly important. However, the existing solar irradiance forecasting methods… read more here.
Keywords: network; irradiance forecasting; explainable neural; solar irradiance ... See more keywords
Assessing Decadal Predictability in an Earth‐System Model Using Explainable Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Geophysical Research Letters"
DOI: 10.1029/2021gl093842
Abstract: We show that explainable neural networks can identify regions of oceanic variability that contribute predictability on decadal timescales in a fully coupled Earth‐system model. The neural networks learn to use sea‐surface temperature anomalies to predict… read more here.
Keywords: system model; predictability; neural networks; earth system ... See more keywords
Beyond Black Boxes: Interpretable AI with Explainable Neural Networks (ENNs) for Acute Myocardial Infarction (AMI) Using Common Hematological Parameters
Sign Up to like & getrecommendations! Published in 2025 at "Medicina"
DOI: 10.3390/medicina61091552
Abstract: Background and Objectives: This study aims to evaluate the diagnostic potential of routinely available hematological parameters for acute myocardial infarction (AMI) by employing an Explainable Neural Network (ENN) model that combines high predictive accuracy with… read more here.
Keywords: hematological parameters; explainable neural; myocardial infarction; model ... See more keywords