复杂行政数据分析:神经网络、建模和预测

Pub Date : 2024-01-25 DOI:10.1080/07362994.2023.2295248
Ronald Ecklmair, Claudia Ibacache-Quirogab, M. Alejandro Dinamarcab, Jozef Kiseľák, Bastián Eduardo Barraza, Milan Stehlík
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引用次数: 0

摘要

智利等国的生态地理异质性,以及城市在地域和人口方面的多样性,对流行病学的研究具有重要意义。
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On analysis of complex administrative data: neural networks, modelling and prediction
Eco-geographical heterogenicity of countries such as Chile and in cities exhibiting a territorial and demographic important diversity is relevant for the epidemiological studies of the apparition a...
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