Title :
Environment Impact Evaluation of Coal Development Based on BP Neural Network
Author_Institution :
Sch. of resource &safety, China Univ. of Min. & Technol., Beijing, China
Abstract :
In order to evaluate the Environment impact of coal development, this paper selected evaluation indicators of the Environment impact of coal development according to certain principles and constructed Environment impact model of the coal development using BP neural network, and used the model to learn, train and simulation process. The model operated simply and effectively, was able to provide a scientific basis for the evaluation of the Environment impact of coal development.
Keywords :
backpropagation; coal; environmental factors; mining industry; neural nets; BP neural network; backpropagation; coal development; environment impact evaluation; simulation process; Biological neural networks; Biological system modeling; Coal; Coal mining; Mathematical model; Neurons; BP neural network; Coal Development; Environment Impact;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Print_ISBN :
978-0-7695-5011-4
DOI :
10.1109/IHMSC.2013.108
