Robotics & Machine Learning Daily News2024,Issue(Jan.2) :68-69.

Reports from University of Pretoria Add New Data to Findings in Artificial Intelligence (Harnessing Explainable Artificial Intelligence for Feature Selection In Time Series Energy Forecasting: a Comparative Analysis of Grad-cam and Shap)

Robotics & Machine Learning Daily News2024,Issue(Jan.2) :68-69.

Reports from University of Pretoria Add New Data to Findings in Artificial Intelligence (Harnessing Explainable Artificial Intelligence for Feature Selection In Time Series Energy Forecasting: a Comparative Analysis of Grad-cam and Shap)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Artificial Intelligence is now available. According to news reportingoriginating from Pretoria, South Africa, by NewsRx correspondents, research stated, “This study investigatesthe efficacy of Explainable Artificial Intelligence (XAI) methods, specifically Gradient-weighted ClassActivation Mapping (Grad-CAM) and Shapley Additive Explanations (SHAP), in the feature selection processfor national demand forecasting. Utilising a multi-headed Convolutional Neural Network (CNN), bothXAI methods exhibit capabilities in enhancing forecasting accuracy and model efficiency by identifying andeliminating irrelevant features.”

Key words

Pretoria/South Africa/Africa/Artificial Intelligence/Emerging Technologies/Machine Learning/University of Pretoria

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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