首页|Data on Artificial Intelligence Detailed by Researchers at AmirKabir University of Technology (Slope stability analysis of the open-pit walls using artificial i ntelligence)
Data on Artificial Intelligence Detailed by Researchers at AmirKabir University of Technology (Slope stability analysis of the open-pit walls using artificial i ntelligence)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting out of Tehran, Iran, by News Rx editors, research stated, “The slope stability analysis is recognized as one of the most significant issues in rock mechanics engineering.” The news editors obtained a quote from the research from AmirKabir University of Technology: “It plays a fundamental role in the design of various rock and soil structures, including mining slopes, roads, and tunnels. To date, various metho ds have been proposed to address the issue of stability, including limit equilib rium methods, numerical methods, and artificial intelligence techniques. In the present study, the stability analysis of mine wall slopes has been conducted usi ng a neuro-fuzzy integrated approach (ANFIS). For this purpose, utilizing data f rom the Choghart iron mine, two neuro-fuzzy networks were developed to analyze t he safety and stability of circular failures under static loading conditions. In the circular failure model, six parameters were identified as the most signific ant inputs, with the safety factor (SF) and stability (S) state as outputs, unde r two different scenarios for analysis. The results obtained indicate that the s tability and safety analysis networks possess low error and high correlation, su ch that the average error for the safety factor and stability was 0.05 and 0.013 , respectively, demonstrating the network’s high generalization capability.”
AmirKabir University of TechnologyTehr anIranAsiaArtificial IntelligenceEmerging TechnologiesMachine Learning
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