Author:
Mekras Nikolaos,Mekra Electra,Georgiou Christos
Abstract
This paper presents possibilities of combined use of Artificial Neural Networks (ANNs) with symbolic AI methods for improving the creation and the efficiency of models for materials and manufacturing processes. Besides a short presentation of one of the most basic and common ANNs architecture, which is the Multi-Layer Perceptron (MLP), and the presentation of main symbolic AI methods for knowledge representation and processing, the paper discusses their combined use and possibilities of hybrid neuro–symbolic AI applications for modelling materials and processes. This combined AI modelling approach is planned to be implemented and tested within the Horizon Europe project M2DESCO, which concerns modelling and eco-design of High Entropy Alloys’ (HEAs) coatings.
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