The deep multichannel discrete‐time cellular neural network model for classification-Reference-Cited by-同舟云学术

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The deep multichannel discrete‐time cellular neural network model for classification

Published:2022-08-05 Issue:11 Volume:50 Page:4171-4178
ISSN:0098-9886
Container-title:International Journal of Circuit Theory and Applications
language:en
Short-container-title:Circuit Theory & Apps

Author:

Abtioglu Emrah¹^ORCID,Yalcin Mustak Erhan²^ORCID

Affiliation:

1. Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkiye

2. Department of Electronics and Communication Engineering Istanbul Technical University Istanbul Turkiye

Funder

Istanbul Teknik Üniversitesi

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cta.3401

Reference22 articles.

1. LeiY SchefferN FerrerL McLarenM.A novel scheme for speaker recognition using a phonetically‐aware deep neural network IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)'14;2014;Florence:1695‐1699.

2. FulopA HorvathA.Application of cellular neural networks in semantic segmentation. In: 2021 IEEE International Symposium on Circuits and Systems (ISCAS);2021:1‐5.

3. CireganD MeierU SchmidhuberJ.Multi‐column deep neural networks for image classification. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)'12;2012;Providence RI:3642‐3649.

4. Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships

5. DeepChrome: deep-learning for predicting gene expression from histone modifications

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