Applications of Artificial Intelligence Techniques in Industry 4.0 by Aydin Azizi
Author:Aydin Azizi
Language: eng
Format: epub, pdf
ISBN: 9789811326400
Publisher: Springer Singapore
In this purpose, Ring Probabilistic Logic Neural Network (RPLNN) as a novel technique in RNP optimization is introduced. The algorithm of RPLNN is designed in a way which has been made capable of the paradigm to adjust the number of embedded antennas in the network, so that it makes RPLNN optimization technique an efficient artificial computational intelligent optimization approach to deal with complex RFID network planning problems.
The second component of the proposed hybrid algorithm is utilizing Redundant Antenna Elimination (RAE) optimization technique in addition to RPLNN optimization technique. Utilizing RAE, algorithm has two advantages: the first privilege is reducing optimization process by reduction of iterations and the other one is giving flexibility to RNP in terms of number of antennas.
The priority of the combined algorithms in the proposed hybrid optimization process of RNP belongs to RAE paradigm, and it has been used before RPLNN technique. It means that first RAE eliminates redundant antennas in the network in each step of optimization and then the RPLNN optimization technique will be applied to only nonredundant antennas (see Fig. 4.2).
Fig. 4.2RNP optimization process
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