A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis

Research article (Empirical Economics, 2024) · cited 14× · AI/ML
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A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis

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A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-new-fractional-integration-approach-based-on-neural-network-nonlinearity-with-an-application-to-testing-unemployment-h
MLA “A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-new-fractional-integration-approach-based-on-neural-network-nonlinearity-with-an-application-to-testing-unemployment-h.
BibTeX @misc{4ortxyz_a-new-fractional-integration-approach-based-on-neural-network-nonlinearity-with-an-application-to-testing-unemployment-h_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis}}, year = {2026}, url = {https://4ort.xyz/entity/a-new-fractional-integration-approach-based-on-neural-network-nonlinearity-with-an-application-to-testing-unemployment-h}, note = {Accessed: 2026-05-24}}
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