✦ LIBER ✦

Prediction of mine coal layer spontaneous combustion danger based on genetic algorithm and BP neural networks

✍ Scribed by Hongfei Xiao; Yunli Tian

Book ID: 119354931
Publisher: Elsevier
Year: 2011
Tongue: English
Weight: 419 KB
Volume: 26
Category: Article
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2011.11.2151

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of Coal Spontaneous Combustio

Prediction of Coal Spontaneous Combustion in Goaf Based on the BP Neural Network

✍ Zhenhua Xie; Yu Zhang; Cai Jin 📂 Article 📅 2012 🏛 Elsevier 🌐 English ⚖ 525 KB

Prediction of oxygen concentration and t

Prediction of oxygen concentration and temperature distribution in loose coal based on BP neural network

✍ Yong-jian ZHANG; Guo-guang WU; Hong-feng XU; Xian-liang MENG; Guang-you WANG 📂 Article 📅 2009 🏛 Elsevier 🌐 English ⚖ 208 KB

An effective method for preventing spontaneous combustion of coal stockpiles on the ground is to control the air-flow in loose coal. In order to determine and predict accurately oxygen concentrations and temperatures within coal stockpiles, it is vital to obtain information of self-heating condition

Forecast of coal spontaneous combustion

Forecast of coal spontaneous combustion with artificial neural network model based on testing and monitoring gas indices

✍ Xin-hai Zhang; Hu Wen; Jun Deng; Xi-chen Zhang; Jerry C. Tien 📂 Article 📅 2011 🏛 China Coal Society 🌐 English ⚖ 402 KB

Genetic algorithms for optimisation of p

Genetic algorithms for optimisation of predictive ecosystems models based on decision trees and neural networks

✍ Tom D’heygere; Peter L.M. Goethals; Niels De Pauw 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 503 KB