Learning Dynamic Stream Weights for Linear Dynamical Systems Using Natural Evolution Strategies

Schymura, Christopher; Kolossa, Dorothea

doi:10.1109/icassp.2019.8682249

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“…In this part, the logistic mapping function (LMF) has been used to improve the original WCO by generating several small perturbation into it [38,39]. Here, the LMF has been used to generate the free parameters of WCO, which are is defined as below:…”

Section: Start Initialization: Population (X I ) a C And A Assess The...mentioning

confidence: 99%

2022.1.2

2022

Journal of Smart Systems and Stable Energy

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One of the important and more challenging categories in the smart cities and IoT is to monitor the vehicles plate licenses. This system is a key factor in most of the traffic monitoring in the IoT based smart city applications. In this research, a method for plate license recognition based on optimal training of the CNN is proposed. To do this, the configuration and the hyperparameters of the CNN were optimized by a new hybrid optimization including world cup optimizer, whale optimizer, and chaotic theory to obtain a better result with high convergence. Simulations are applied to the UFPR-ALPR dataset and are compared with six popular techniques in terms of accuracy and time. Experimental achievements indicated that the proposed method gives superiority toward the other comparative techniques and is an efficient method for vehicles plate licenses detection.

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Section: Start Initialization: Population (X I ) a C And A Assess The...mentioning

confidence: 99%