Home ›
Entities
› academia
› Bayesian Regularization-Trained Multi-layer Perceptron Neural Network Predictive Modelling of Phenol Degradation using ZnO/Fe<sub>2</sub>O<sub>3</sub> photocatalyst
Bayesian Regularization-Trained Multi-layer Perceptron Neural Network Predictive Modelling of Phenol Degradation using ZnO/Fe<sub>2</sub>O<sub>3</sub> photocatalyst
Research article (Journal of Physics Conference Series, 2020) · cited 16× · AI/ML
Bayesian Regularization-Trained Multi-layer Perceptron Neural Network Predictive Modelling of Phenol Degradation using ZnO/Fe2O3 photocatalyst
Summary
Bayesian Regularization-Trained Multi-layer Perceptron Neural Network Predictive Modelling of Phenol Degradation using ZnO/Fe2O3 photocatalyst is a scholarly article[1].
Key Facts
Bayesian Regularization-Trained Multi-layer Perceptron Neural Network Predictive Modelling of Phenol Degradation using ZnO/Fe2O3 photocatalyst's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Bayesian Regularization-Trained Multi-layer Perceptron Neural Network Predictive Modelling of Phenol Degradation using ZnO/Fe<sub>2</sub>O<sub>3</sub> photocatalyst. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-regularization-trained-multi-layer-perceptron-neural-network-predictive-modelling-of-phenol-degradation-using-z