A novel cross-validation strategy for artificial neural networks using distributed-lag environmental factors

Open Access

Peer-reviewed

Research Article

About the Authors

Chao-Yu Guo

Roles Conceptualization, Data curation, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

Affiliation Institute of Public Health, National Yang-Ming University, Taipei, Taiwan, R.O.C

Tse-Wei Liu

Roles Formal analysis, Methodology, Software, Visualization

Affiliation Institute of Public Health, National Yang-Ming University, Taipei, Taiwan, R.O.C

Yi-Hau Chen

Roles Funding acquisition, Supervision

Affiliation Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, R.O.C

The authors declare that they have no conflicts of interest related to the subject matter or materials discussed in this article

Artificial neural networks
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Neurons
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Permutation
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Air pollution
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Machine learning
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Forecasting
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Mathematical functions
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Neural networks
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