Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule

Research article (Journal of Process Control, 2018) · cited 139× · AI/ML
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Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule

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APA 4ort.xyz Knowledge Graph. (2026). Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-feature-learning-for-nonlinear-process-monitoring-an-approach-using-stacked-denoising-autoencoder-and-k-neares
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BibTeX @misc{4ortxyz_automated-feature-learning-for-nonlinear-process-monitoring-an-approach-using-stacked-denoising-autoencoder-and-k-neares_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule}}, year = {2026}, url = {https://4ort.xyz/entity/automated-feature-learning-for-nonlinear-process-monitoring-an-approach-using-stacked-denoising-autoencoder-and-k-neares}, note = {Accessed: 2026-05-24}}
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