227 related articles for article (PubMed ID: 33027024)
1. Evolving Connections in Group of Neurons for Robust Learning.
Liu J; Gong M; Xiao L; Zhang W; Liu F
IEEE Trans Cybern; 2022 May; 52(5):3069-3082. PubMed ID: 33027024
[TBL] [Abstract][Full Text] [Related]
2. Augmented Graph Neural Network with hierarchical global-based residual connections.
Rassil A; Chougrad H; Zouaki H
Neural Netw; 2022 Jun; 150():149-166. PubMed ID: 35313247
[TBL] [Abstract][Full Text] [Related]
3. EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks.
Poyatos J; Molina D; Martinez AD; Del Ser J; Herrera F
Neural Netw; 2023 Jan; 158():59-82. PubMed ID: 36442374
[TBL] [Abstract][Full Text] [Related]
4. Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms.
Garro BA; Vázquez RA
Comput Intell Neurosci; 2015; 2015():369298. PubMed ID: 26221132
[TBL] [Abstract][Full Text] [Related]
5. Evolving Deep Architecture Generation with Residual Connections for Image Classification Using Particle Swarm Optimization.
Lawrence T; Zhang L; Rogage K; Lim CP
Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883940
[TBL] [Abstract][Full Text] [Related]
6. The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory.
Oladyshkin S; Praditia T; Kroeker I; Mohammadi F; Nowak W; Otte S
Neural Netw; 2023 Sep; 166():85-104. PubMed ID: 37480771
[TBL] [Abstract][Full Text] [Related]
7. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
[TBL] [Abstract][Full Text] [Related]
8. Neural architecture design based on extreme learning machine.
Bueno-Crespo A; García-Laencina PJ; Sancho-Gómez JL
Neural Netw; 2013 Dec; 48():19-24. PubMed ID: 23892908
[TBL] [Abstract][Full Text] [Related]
9. Deep learning in random neural fields: Numerical experiments via neural tangent kernel.
Watanabe K; Sakamoto K; Karakida R; Sonoda S; Amari SI
Neural Netw; 2023 Mar; 160():148-163. PubMed ID: 36640490
[TBL] [Abstract][Full Text] [Related]
10. Deep associative neural network for associative memory based on unsupervised representation learning.
Liu J; Gong M; He H
Neural Netw; 2019 May; 113():41-53. PubMed ID: 30780044
[TBL] [Abstract][Full Text] [Related]
11. A novel single neuron perceptron with universal approximation and XOR computation properties.
Lotfi E; Akbarzadeh-T MR
Comput Intell Neurosci; 2014; 2014():746376. PubMed ID: 24868200
[TBL] [Abstract][Full Text] [Related]
12. A new optimized GA-RBF neural network algorithm.
Jia W; Zhao D; Shen T; Su C; Hu C; Zhao Y
Comput Intell Neurosci; 2014; 2014():982045. PubMed ID: 25371666
[TBL] [Abstract][Full Text] [Related]
13. A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification.
Li H; Zhang L
IEEE Trans Neural Netw Learn Syst; 2021 Nov; 32(11):4901-4915. PubMed ID: 33017295
[TBL] [Abstract][Full Text] [Related]
14. A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks.
Bas E; Egrioglu E; Yolcu U; Chen MY
Big Data; 2023 Apr; 11(2):105-116. PubMed ID: 36315168
[TBL] [Abstract][Full Text] [Related]
15. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research.
Agatonovic-Kustrin S; Beresford R
J Pharm Biomed Anal; 2000 Jun; 22(5):717-27. PubMed ID: 10815714
[TBL] [Abstract][Full Text] [Related]
16. Fast deep neural correspondence for tracking and identifying neurons in
Yu X; Creamer MS; Randi F; Sharma AK; Linderman SW; Leifer AM
Elife; 2021 Jul; 10():. PubMed ID: 34259623
[TBL] [Abstract][Full Text] [Related]
17. Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network.
Huang ML; Chou YC
Comput Methods Programs Biomed; 2019 Oct; 180():105016. PubMed ID: 31442736
[TBL] [Abstract][Full Text] [Related]
18. Transformed ℓ
Ma R; Miao J; Niu L; Zhang P
Neural Netw; 2019 Nov; 119():286-298. PubMed ID: 31499353
[TBL] [Abstract][Full Text] [Related]
19. Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection.
Kim J; Kim J; Jang GJ; Lee M
Neural Netw; 2017 Mar; 87():109-121. PubMed ID: 28110106
[TBL] [Abstract][Full Text] [Related]
20. Supervised Learning in Neural Networks: Feedback-Network-Free Implementation and Biological Plausibility.
Lin F
IEEE Trans Neural Netw Learn Syst; 2022 Dec; 33(12):7888-7898. PubMed ID: 34181554
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]