A new nonlinear causality test based on single multiplicative neuron model artificial neural network: a case study for Turkey’s macroeconomic indicators

IF 5.5 0 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Granular Computing Pub Date : 2022-07-23 DOI:10.1007/s41066-022-00336-z

E. Eğrioğlu, E. Baş, Turan Cansu, M. A. Kara

引用次数: 1

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基于单乘法神经元模型人工神经网络的非线性因果检验:以土耳其宏观经济指标为例

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Granular Computing Multiple-

CiteScore

10.70

自引率

23.60%

发文量

期刊介绍： Granular Computing constitutes an extensive body of knowledge, which dwells upon individual formalisms of information granules (established within various settings including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, probabilistic granules) and unifies them to form a coherent methodological and developmental environment. Granular Computing is about formation, processing and communicating information granules.