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.
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 ...
Feb 9, 2022 · The ANN is a method that comprehensively utilizes a variety of information by imitating the synapse structure of neurons making up the nervous ...
A novel method to design and evaluate artificial neural network for ...
pubmed.ncbi.nlm.nih.gov › ...
Feb 9, 2022 · A novel method to design and evaluate artificial neural network for thin film thickness measurement traceable to the length standard · Abstract.
Missing: Constructing | Show results with:Constructing
The proposed combinatorial algorithm is tested over some standard benchmark functions and then integrated with the artificial neural network (ANN) to construct ...
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Oct 22, 2024 · This paper presents a neural network ensemble (NNE) construction method for classification problems. The proposed method automatically ...
We propose a novel method in FPEMTSP to extract multivariate features by doing the Cartesian product of the main time series features and the secondary time ...
we propose a novel method of constructing deep SNN mod- els with knowledge distillation (KD) that uses ANN as the teacher model and SNN as the student model.