CORDIS Project
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This project focuses on developing advanced black-box modeling techniques for predictive modeling across various domains. It aims to create a user-friendly tool that can handle large datasets and high-dimensional inputs, enhancing predictive accuracy in fields like energy consumption and environmental modeling.
Making accurate predictions is a crucial factor in many systems (such as in modelling energy consumption, power load forecasting, traffic networks, process industry, environmental modelling, biomedicine, brain-machine interfaces) for cost savings, efficiency, health, safety and organizational purposes.
In this proposal we aim at realizing a new generation of more advanced black-box modelling techniques for estimating predictive models from measured data.
We will study different optimization mod…
KATHOLIEKE UNIVERSITEIT LEUVEN
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