Applications of Artificial Intelligence Techniques in Industry 4.0 / SpringerBriefs in Applied Sciences and Technology (PDF)
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This effort leads to proposing a novel artificial intelligence algorithm which has been named hybrid artificial intelligence optimization technique to perform optimization of RNP as a hard learning problem. This hybrid optimization technique consists of two different optimization phases. First phase is optimizing RNP by Redundant Antenna Elimination (RAE) algorithm and the second phase which completes RNP optimization process is Ring Probabilistic Logic Neural Networks (RPLNN).
The hybrid paradigm is explored using a flexible manufacturing system (FMS) and the results are compared with well-known evolutionary optimization technique namely Genetic Algorithm (GA) to demonstrate the feasibility of the proposed architecture successfully.
- Autor: Aydin Azizi
- 2018, 1st ed. 2019, 61 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9811326401
- ISBN-13: 9789811326400
- Erscheinungsdatum: 25.09.2018
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- Grösse: 3.11 MB
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