Surface coal mine production forecast based on improved Chebyshev neural network

Many factors affect the production of surface coal mine, but there is no accurate way to predict it. In this paper, aim at Chebyshev neural network weaknesses, carry out a comprehensive improvement from the algorithm and network structure. Improved Chebyshev neural network in line with the basic characteristics of biological neural networks, the algorithm simple and fast convergence. Using the modified Chebyshev neural networks to predict open pit coal production,the results show that this method not only provides an effective open-pit coal production forecast method with good predictive ability, but also in the same precision under the premise of the convergence speed is superior to the general BP network, can provide scientific and rationalr decision making for open pit production.