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Development and Comparison of Prediction Models for Sanitary Sewer Pipes Condition Assessment Using Multinomial Logistic Regression and Artificial Neural Network
Research article (Sustainability, 2022) · cited 17× · AI/ML
Development and Comparison of Prediction Models for Sanitary Sewer Pipes Condition Assessment Using Multinomial Logistic Regression and Artificial Neural Network
Summary
Development and Comparison of Prediction Models for Sanitary Sewer Pipes Condition Assessment Using Multinomial Logistic Regression and Artificial Neural Network is a scholarly article[1].
Key Facts
Development and Comparison of Prediction Models for Sanitary Sewer Pipes Condition Assessment Using Multinomial Logistic Regression and Artificial Neural Network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Development and Comparison of Prediction Models for Sanitary Sewer Pipes Condition Assessment Using Multinomial Logistic Regression and Artificial Neural Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-and-comparison-of-prediction-models-for-sanitary-sewer-pipes-condition-assessment-using-multinomial-logistic
MLA“Development and Comparison of Prediction Models for Sanitary Sewer Pipes Condition Assessment Using Multinomial Logistic Regression and Artificial Neural Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-and-comparison-of-prediction-models-for-sanitary-sewer-pipes-condition-assessment-using-multinomial-logistic.
BibTeX@misc{4ortxyz_development-and-comparison-of-prediction-models-for-sanitary-sewer-pipes-condition-assessment-using-multinomial-logistic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development and Comparison of Prediction Models for Sanitary Sewer Pipes Condition Assessment Using Multinomial Logistic Regression and Artificial Neural Network}}, year = {2026}, url = {https://4ort.xyz/entity/development-and-comparison-of-prediction-models-for-sanitary-sewer-pipes-condition-assessment-using-multinomial-logistic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development and Comparison of Prediction Models for Sanitary Sewer Pipes Condition Assessment Using Multinomial Logistic Regression and Artificial Neural Network — https://4ort.xyz/entity/development-and-comparison-of-prediction-models-for-sanitary-sewer-pipes-condition-assessment-using-multinomial-logistic (retrieved 2026-05-24)
