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In this paper, we give a new method to construct artificial neural network, which based on multi-agent theory and Reinforcement learning algorithm. All nodes in ...
In this paper, we give a new method to construct artificial neural network, which based on multi-agent theory and Reinforcement learning algorithm. All nodes in ...
Abstract. Artificial Neural Networks (ANNs) are powerful computa- tional and modeling tools, however there are still some limitations in.
Feb 9, 2022 · In this article, we propose for the first time a method by which to design and evaluate an ANN for determining the thickness of the thin film with ...
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A new machine learning method called ANN-kNN combination method (AKC) for thermophysical property prediction of material is proposed.
Missing: Constructing | Show results with:Constructing
The present work proposes a method, based on artificial neural network modeling, for selecting the most appropriate locations for offshore wind turbines ...
Missing: Constructing | Show results with:Constructing
Apr 12, 2023 · Here we propose a novel method of constructing deep SNN models with knowledge distillation (KD) that uses ANN as teacher model and SNN as student model.
Jul 8, 2023 · In this paper, we propose a Distributed Genetic Algorithm based ANN Learning Algorithm for addressing challenges associated with ANN learning for Big data.
A Novel Method Based on Artificial Neural Network to Production ... decision-making process that relies on mathematical techniques and heuristic methods to.
Dec 18, 2013 · We develop a novel Artificial Neural Network (ANN) method based on Matrix Pseudo-Inversion (MPI) for use in biomedical applications.