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An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis
Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 44× · AI/ML
An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis
Summary
An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis is a scholarly article[1].
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An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An explainable neural network integrating Jiles-Atherton and nonlinear auto-regressive exogenous models for modeling universal hysteresis. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-explainable-neural-network-integrating-jiles-atherton-and-nonlinear-auto-regressive-exogenous-models-for-modeling-uni