Pitfalls of coal peak prediction

Intelligent prediction of heating value of coal

The gross calorific value (GCV) or heating value of a sample of fuel is one of the important properties which defines the energy of the fuel. Many researchers have proposed empirical formulas for estimating GCV value of coal. There are some known methods like Bomb Calorimeter for determining the GCV in the laboratory. But these methods are cumbersome, costly and time consuming. In this paper, m...

intelligent prediction of heating value of coal

the gross calorific value (gcv) or heating value of a sample of fuel is one of the important properties which defines the energy of the fuel. many researchers have proposed empirical formulas for estimating gcv value of coal. there are some known methods like bomb calorimeter for determining the gcv in the laboratory. but these methods are cumbersome, costly and time consuming. in this paper, m...

Potential pitfalls of clinical prediction rules.

Studying Peak Particle Velocity Due to Blast in Development Tunnels’ Face in Coal Stoping

The impact of blast-driven shocks on the safety and stability of the underground coal mines has been well established. The seismic imperfections resulting from blasting depend on the total explosive energy released during blasting and the closeness of the development tunnel face to the stope face. Also, the quality of the rock mass wherein the whole stope face is located might pose considerable...

FEASIBILITY OF PSO-ANFIS-PSO AND GA-ANFIS-GA MODELS IN PREDICTION OF PEAK GROUND ACCELERATION

In the present study, two new hybrid approaches are proposed for predicting peak ground acceleration (PGA) parameter. The proposed approaches are based on the combinations of Adaptive Neuro-Fuzzy System (ANFIS) with Genetic Algorithm (GA), and with Particle Swarm Optimization (PSO). In these approaches, the PSO and GA algorithms are employed to enhance the accuracy of ANFIS model. To develop hy...