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  Safe mining operation with intelligent roof support system — Neuro-fuzzy approach

  Insufficient roof treatment during underground tunneling excavation affects safety, production and efficiency. In most of the cases , our experiences and expertise of soil and rock behaviour still falls short of being able to predict how the ground will behave. Presently, empirical approaches to design are widely used in underground tunneling/mining and thereby roof support parameters are calculated. An expert judgment plays an important role under this type of situation. Safety towards roof support can be enhanced in mining operations to a large extent using the accurate and precise measurement and optimization of data and its analysis using Neuro-Fuzzy technique of Artificial Intelligence. Neuro-Fuzzy hybrid approach an artificial intelligence technique is becoming one of the key areas of research because it gets the benefits of neural network as well as of fuzzy logic systems and it removes the individual disadvantages by combining them on the common features. Artificial Neural network and fuzzy logic technologies has having common features such as distributed representation of knowledge, ability to handle data with uncertainty and imprecision etc. like in mine roof support system. Fuzzy logic technique has tolerance of imprecision of data, while neural networks have tolerance of noisy data.

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