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Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel

Research article (Environmental Monitoring and Assessment, 2020) · cited 101× · AI/ML
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Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel

Summary

Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel is a scholarly article[1].

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  • Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-study-of-artificial-neural-network-ann-adaptive-neuro-fuzzy-inference-system-anfis-and-multiple-linear-regre
MLA “Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-study-of-artificial-neural-network-ann-adaptive-neuro-fuzzy-inference-system-anfis-and-multiple-linear-regre.
BibTeX @misc{4ortxyz_comparative-study-of-artificial-neural-network-ann-adaptive-neuro-fuzzy-inference-system-anfis-and-multiple-linear-regre_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-study-of-artificial-neural-network-ann-adaptive-neuro-fuzzy-inference-system-anfis-and-multiple-linear-regre}, note = {Accessed: 2026-05-24}}
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