Results 191 to 200 of about 639,551 (228)

Evolutionary single hidden-layer feed forward networks

International Journal of Innovative Computing and Applications, 2014
We propose an evolutionary method for optimising both the architecture and the synaptic weights of single hidden-layer feed forward neural networks. Based on evolutionary strategies, this method uses new genetic operators of mutation and recombination in order to evolve a population of candidate solutions in the form of neural networks with different ...
Youssef Safi, Abdelaziz Bouroumi
openaire   +1 more source

Working with hidden layers

2021
Ahmed Fawzy Gad, Fatima Ezzahra Jarmouni
openaire   +1 more source

ANN with 3 hidden layers

2021
Ahmed Fawzy Gad, Fatima Ezzahra Jarmouni
openaire   +1 more source

Working with 2 hidden layers

2021
Ahmed Fawzy Gad, Fatima Ezzahra Jarmouni
openaire   +1 more source

Neural Networks with Marginalized Corrupted Hidden Layer

2015
Overfitting is an important problem in neural networks (NNs) training. When the number of samples in the training set is limited, explicitly extending the training set with artificially generated samples is an effective solution. However, this method has the problem of high computational costs.
Yanjun Li, Xin Xin, Ping Guo
openaire   +1 more source

Hidden Layers Within

2021
openaire   +1 more source

Ghosts of the Hidden Layer

2023
openaire   +1 more source

Hidden Layer: A Privacy Literacy Heptathlon

2023
Sarah Hartman-Caverly, Alexandria Edyn Chisholm   +1 more
openaire   +1 more source

Breaking barriers for those with hidden disabilities

Nature Reviews Earth & Environment, 2022
ISABEL CARRERA ZAMANILLO
exaly  

Revealing the Hidden Layers

Journal of the American College of Cardiology
Zhangxin Wen, Sihan Duan, Hong Liu
openaire   +1 more source