Applications of Artificial Intelligence Techniques in Industry 4.0 - Azizi, Aydin

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Résumé :
This book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence algorithm with knowledge representation an efficient artificial intelligence paradigm to model and optimize RFID networks. 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.

Biographie:
Aydin Azizi is a university professor at the German University of Technology, also he is the Research Focal Point of The Research Council of OMAN (TRC). His research area is Mechatronics focusing on developing and investigating different Artificial Intelligent Techniques to model, control and optimize the complex nonlinear systems. In December 2017 he was honored by winning the National Research Award of Oman because of his research in AI field led to propose a Hybrid AI algorithm to optimize RFID networks. Currently he is the principle investigator of a funded research project by TRC with title of Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise. Prof. Azizi holds BSc. MSc and PhD degrees in Mechanical Engineering, Mechatronics and Mechanical Engineering....

Sommaire:
Introduction.- Modern Manufacturing.- RFID Network Planning.- Hybrid Artificial Intelligence Optimization Technique.- Implementation.