A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking

Research article (Journal of Petroleum Science and Engineering, 2017) · cited 78× · AI/ML
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A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking

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A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comprehensive-data-mining-approach-to-estimate-the-rate-of-penetration-application-of-neural-network-rule-based-models
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BibTeX @misc{4ortxyz_a-comprehensive-data-mining-approach-to-estimate-the-rate-of-penetration-application-of-neural-network-rule-based-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comprehensive data mining approach to estimate the rate of penetration: Application of neural network, rule based models and feature ranking}}, year = {2026}, url = {https://4ort.xyz/entity/a-comprehensive-data-mining-approach-to-estimate-the-rate-of-penetration-application-of-neural-network-rule-based-models}, note = {Accessed: 2026-05-24}}
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