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Algorithms 2018, 11(7), 102; https://doi.org/10.3390/a11070102

Advanced Artificial Neural Networks

1
Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu City 30010, Taiwan
2
Department of Industrial Management, Vanung University, Taoyuan City 32061, Taiwan
3
Department of Industrial Engineering and Management, Chaoyang University of Technology, Wufeng District, Taichung City 41349, Taiwan
*
Author to whom correspondence should be addressed.
Received: 4 July 2018 / Accepted: 7 July 2018 / Published: 10 July 2018
(This article belongs to the Special Issue Advanced Artificial Neural Networks)
View Full-Text   |   Download PDF [148 KB, uploaded 10 July 2018]

Abstract

Artificial neural networks (ANNs) have been extensively applied to a wide range of disciplines, such as system identification and control, decision making, pattern recognition, medical diagnosis, finance, data mining, visualization, and others. With advances in computing and networking technologies, more complicated forms of ANNs are expected to emerge, requiring the design of advanced learning algorithms. This Special Issue is intended to provide technical details of the construction and training of advanced ANNs. View Full-Text
Keywords: artificial neural network; learning; advanced artificial neural network; learning; advanced
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Chen, T.-C.T.; Liu, C.-L.; Lin, H.-D. Advanced Artificial Neural Networks. Algorithms 2018, 11, 102.

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