Study on the Height of Transmissive Fractured Zone Based on the ANFIS

Abstract:

Adaptive Neuro-Fuzzy Inference System has the merits of high convergence speed, potentially better generalization capability, high prediction accuracy and definiteness of the training results, and it has been applied to inverse design of slopes and surface displacement due to coal extraction. By training and checkout the collected 19 examples of mining under water body, the optimum ANFIS modeling was established. ANFIS-based approach for the forecast of the height of transmissive fractured belt are applied to the extraction the No.Ⅲ ore body at Kangjiawan Zinc-Lead Mine successfully, some important conclusions are of great significance to the factual issues. All the experiences may be of greatly beneficial reference for the similar projects since then.

• Periodical: Applied Mechanics and Materials (Volumes 256-259)
• Pages: 2760-2765
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.256-259.2760
• Online since: December 2012
• Authors: Yun Gang Wang, Li Zhang
• Keywords: ANFIS, Height of Transmissive Fractured Zone, Mining under Water Body

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