Prediction Model of Coal and Gas Outburst Based on Rough Set-Unascertained Measure Theory
نویسندگان
چکیده
منابع مشابه
Prediction Strategy of Coal and Gas Outburst Based on Artificial Neural Network
The article describes the research of coal and gas outburst prediction technology and the new problems they face in the modern mining. It also describes the superiority of neural network technology in dealing with complex geological conditions. It refers to the possibility and necessity of combination of the coal and gas outburst prediction and artificial neural networks, and other hightechnolo...
متن کاملBusiness Failure Prediction Model based on Grey Prediction and Rough Set Theory
A lot of methods have been used in the past for the prediction of failure business like Discriminant analysis, Logit analysis, Quadratic Function etc. Although some of these methods lead to models with a satisfactory ability to discriminate between healthy and bankrupt, they endure some limitations, often due to the unrealistic assumption of statistical hypotheses. This is why we have undertake...
متن کاملAn Improved Coal and Gas Outburst Prediction Algorithm Based on BP Neural Network
The coal and gas outburst is one of complex geological disasters and its prediction is influenced by a multiple of factors, such as coal gas, ground stress, physical and mechanical properties, and complex non-linear system, which cause the low prediction accuracy. It is a favorable scheme to use the nonlinear BP neural network for the prediction algorithm design. But, the traditional BP neural ...
متن کاملStudy on Compound Genetic and Back Propagation Algorithm for Prediction of Coal and Gas Outburst Risk
Coal and gas outburst is a very complex phenomenon of dynamic disaster in coal mine. There exists a complex non-linear mapping relationship which could not be described with functions between outburst risk and its influential factors. Due to the originality and superiority of artificial neural network (ANN) for modeling and imitating non-linear problems, an ANN model for prediction of outburst ...
متن کاملIndicator Selection based on Rough Set Theory
A method for indicator selection is proposed in this paper. The method, which adopts the General Methodology and Design Research approach, consists of four steps: Problem Identification, Requirement Gathering, Indicator Extraction, and Evaluation. Rough Set approach also has been applied in the Indicator Extraction phase. This phase consists of 5 steps: Data selection, Data Preprocessing, Discr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Engineering and Technological Sciences
سال: 2019
ISSN: 2338-5502,2337-5779
DOI: 10.5614/j.eng.technol.sci.2018.50.6.2