Abstract
Neural networks, a type of machine-learning algorithm, are efficient mechanisms for inferring relationships and creating models to express the association between input and output parameters.
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Cao, C., Xu, M., Kamsing, P., Boonprong, S., Yomwan, P., Saokarn, A. (2021). Modeling Outbreak Risk Based on the Back Propagation Neural Network (BPNN) Algorithm. In: Environmental Remote Sensing in Flooding Areas. Springer, Singapore. https://doi.org/10.1007/978-981-15-8202-8_8
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DOI: https://doi.org/10.1007/978-981-15-8202-8_8
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