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A comparative analysis of artificial neural network (ANN), wavelet neural network (WNN), and support vector machine (SVM) data-driven models to mineral potential mapping for copper mineralizations in the Shahr-e-Babak region, Kerman, Iran

Research article (Applied Geomatics, 2018) · cited 34× · AI/ML
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A comparative analysis of artificial neural network (ANN), wavelet neural network (WNN), and support vector machine (SVM) data-driven models to mineral potential mapping for copper mineralizations in the Shahr-e-Babak region, Kerman, Iran

Summary

A comparative analysis of artificial neural network (ANN), wavelet neural network (WNN), and support vector machine (SVM) data-driven models to mineral potential mapping for copper mineralizations in the Shahr-e-Babak region, Kerman, Iran is a scholarly article[1].

Key Facts

  • A comparative analysis of artificial neural network (ANN), wavelet neural network (WNN), and support vector machine (SVM) data-driven models to mineral potential mapping for copper mineralizations in the Shahr-e-Babak region, Kerman, Iran's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A comparative analysis of artificial neural network (ANN), wavelet neural network (WNN), and support vector machine (SVM) data-driven models to mineral potential mapping for copper mineralizations in the Shahr-e-Babak region, Kerman, Iran. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-analysis-of-artificial-neural-network-ann-wavelet-neural-network-wnn-and-support-vector-machine-svm-data-d
MLA “A comparative analysis of artificial neural network (ANN), wavelet neural network (WNN), and support vector machine (SVM) data-driven models to mineral potential mapping for copper mineralizations in the Shahr-e-Babak region, Kerman, Iran.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-analysis-of-artificial-neural-network-ann-wavelet-neural-network-wnn-and-support-vector-machine-svm-data-d.
BibTeX @misc{4ortxyz_a-comparative-analysis-of-artificial-neural-network-ann-wavelet-neural-network-wnn-and-support-vector-machine-svm-data-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparative analysis of artificial neural network (ANN), wavelet neural network (WNN), and support vector machine (SVM) data-driven models to mineral potential mapping for copper mineralizations in the Shahr-e-Babak region, Kerman, Iran}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-analysis-of-artificial-neural-network-ann-wavelet-neural-network-wnn-and-support-vector-machine-svm-data-d}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A comparative analysis of artificial neural network (ANN), wavelet neural network (WNN), and support vector machine (SVM) data-driven models to mineral potential mapping for copper mineralizations in the Shahr-e-Babak region, Kerman, Iran — https://4ort.xyz/entity/a-comparative-analysis-of-artificial-neural-network-ann-wavelet-neural-network-wnn-and-support-vector-machine-svm-data-d (retrieved 2026-05-24)

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