Guest Editorial: Special issue on machine learning and deep learning algorithms for complex networks

The authors propose a multi-attribute decision-making tool for finding a beneficial sustainable supplier to handle complex dilemmas and they illustrate the effectiveness of the proposed approach through a comparative analysis. The last paper of this collection is by Mukherjee et al., which describes...

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Bibliographic Details
Published in:CAAI Transactions on Intelligence Technology 2023-03, Vol.8 (1), p.1-2
Main Authors: Meo, Pasquale, Jin, Qun, Yao, Jianguo, Sheng, Michael
Format: Article
Language:English
Subjects:
Algorithms
Artificial neural networks
Decision making
Deep learning
Demand analysis
Machine learning
Neural networks
R&D
Research & development
Software
Time series
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Summary:The authors propose a multi-attribute decision-making tool for finding a beneficial sustainable supplier to handle complex dilemmas and they illustrate the effectiveness of the proposed approach through a comparative analysis. The last paper of this collection is by Mukherjee et al., which describes two approaches to predicting stock market indices as well as stock prices. The second approach applies a Convolution Neural Network model and it significantly reduces the demand of computational resources as well as training data while achieving a good accuracy.
ISSN:2468-2322
2468-2322
DOI:10.1049/cit2.12205