Predicting Young’s modulus of Indian coal measure rock using multiple regression and artificial neutral network

Accurate information on Young’s modulus (E) is required for simulating rock deformation in mines; the other hand, it very cumbersome to obtain laboratory and collecting drilled cores sufficient amounts, especially case of soft rocks, quite impossible. Empirical equations were deducted E from easily determinable properties, final model was selected through different statistical strength parameter tests. The generalization equation verified normal distribution tests residues equation. R2 came be 0.609 validated using an artificial neural network with improved value 0.73