An adaptive evolutionary modular neural network with intermodule connections
Author:
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05308-1.pdf
Reference35 articles.
1. Li W, Li M, Qiao J, Guo X (2020) A feature clustering-based adaptive modular neural network for nonlinear system modeling. ISA Trans 100:185–197. https://doi.org/10.1016/j.isatra.2019.11.015
2. Singh MP, Singh G (2021) Two phase learning technique in modular neural network for pattern classification of handwritten Hindi alphabets. Mach Learn with Appl 6:100174. https://doi.org/10.1016/j.mlwa.2021.100174
3. Melin P, Sánchez D (2018) Multi-objective optimization for modular granular neural networks applied to pattern recognition. Inf Sci (Ny) 460–461:594–610. https://doi.org/10.1016/j.ins.2017.09.031
4. Varela-Santos S, Melin P (2021) A new modular neural network approach with fuzzy response integration for lung disease classification based on multiple objective feature optimization in chest X-ray images. Expert Syst Appl 168:114361. https://doi.org/10.1016/j.eswa.2020.114361
5. Jiao Y, Xue B, Lu C et al (2022) Continuous real-time prediction of surgical case duration using a modular artificial neural network. Br J Anaesth 128:829–837. https://doi.org/10.1016/j.bja.2021.12.039
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