This article approaches the classification of the in line testing of the manufacturing processes using a method that is based on an ensemble of deep learning ...
Abstract—Faults detection in semiconductor manufacturing processes is a challenging research problem because the manufac- turing processes are characterized ...
Dec 3, 2020 · This article approaches the classification of the in line testing of the manufacturing processes using a method that is based on an ensemble of ...
The experimental results showed that the proposed PSO-EML algorithm achieved better classification accuracy and optimized prediction with an accuracy of 99.61%, ...
In this paper, an efficient PSO method will be proposed to evolve. CNN architectures without compromising the classification accuracy. Goals: The overall goal ...
Particle Swarm Optimization Based Deep Learning Ensemble for Manufacturing Processes · Engineering, Computer Science. 2020 IEEE 16th International Conference on…
A novel approach, provides accurate measurement of several obstacles to achieve rapid identification and avoidance of disruptions.
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This paper proposes a novel method called importance-guided particle swarm optimization based on MLP (IGPSO) for feature selection.
This study aims to evaluate a new approach in modeling gully erosion susceptibility (GES) based on a deep learning neural network (DLNN) model and an ensemble ...
In this article, we propose particle swarm optimization deep neural network (PSO-DNN) for implementing an effective and accurate intrusion detection system in ...