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A hybrid Deep Boltzmann Functional Link Network for classification ...
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This paper proposes a hybrid deep learning algorithm, namely, the Deep Boltzmann Functional Link Network (DBFLN) for classification problems.
Abstract—This paper proposes a hybrid deep learning algo- rithm, namely, the Deep Boltzmann Functional Link Network. (DBFLN) for classification problems.
This paper proposes a hybrid deep learning algorithm, namely, the Deep Boltzmann Functional Link Network (DBFLN) for classification problems.
A Hybrid Deep Boltzmann Functional Link Network for Classification Problems by R. Savitha, Kit Yan Chan, Phyo Phyo San, Sai Ho Ling, S. Suresh.
This paper proposes a hybrid deep learning algorithm, namely, the Deep Boltzmann Functional Link Network (DBFLN) for classification problems. A Deep ...
Nov 7, 2023 · A hybrid learning approach is proposed that first trains a deep network on the training data, extracts features from the deep network, and then uses these ...
This paper proposes a novel deep learning framework for diagnosing female brain disorder from fMRI scans. The configuration combines the contractive autoencoder ...
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May 16, 2023 · A hybrid deep neural network typically refers to a network architecture that combines elements from different types of neural networks or machine learning ...
Sep 22, 2022 · An RBM is a Boltzmann machine with a restriction that there are no connections between any two visible nodes or any two hidden nodes.
The results show that a stack of Restricted Boltzmann Machines is superior for categorizing skin cancer types using the proposed innovative SDP.