Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme-Reference-Cited by-同舟云学术

Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme

Published:2019-01-06 Issue:10 Volume:10 Page:2901-2920
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Faris Hossam,Mirjalili Seyedali,Aljarah Ibrahim^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s13042-018-00913-2.pdf

Reference62 articles.

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3. Aljarah I, Faris H, Mirjalili S (2018) Optimizing connection weights in neural networks using the whale optimization algorithm. Soft Comput 22(1):1–15

4. Aljarah I, Faris H, Mirjalili S, Al-Madi N (2018) Training radial basis function networks using biogeography-based optimizer. Neural Comput Appl 29(7):529–553

5. Amiri M, Amnieh HB, Hasanipanah M, Khanli LM (2016) A new combination of artificial neural network and $$K$$ K -nearest neighbors models to predict blast-induced ground vibration and air-overpressure. Eng Comput 32:1–14

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