Short-Term Coalmine Gas Concentration Prediction Based on Wavelet Transform and Extreme Learning Machine
المؤلفون المشاركون
Xiang, Wu
Li, Zhang
Jian-sheng, Qian
Cheng-hua, Huang
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-21
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
It is well known that coalmine gas concentration forecasting is very significant to ensure the safety of mining.
Owing to the high-frequency, nonstationary fluctuations and chaotic properties of the gas concentration time series, a gas concentration forecasting model utilizing the original raw data often leads to an inability to provide satisfying forecast results.
A hybrid forecasting model that integrates wavelet transform and extreme learning machine (ELM) termed as WELM (wavelet based ELM) for coalmine gas concentration is proposed.
Firstly, the proposed model employs Mallat algorithm to decompose and reconstruct the gas concentration time series to isolate the low-frequency and high-frequency information.
Then, ELM model is built for the prediction of each component.
At last, these predicted values are superimposed to obtain the predicted values of the original sequence.
This method makes an effective separation of the feature information of gas concentration time series and takes full advantage of multi-ELM prediction models with different parameters to achieve divide and rule.
Comparative studies with existing prediction models indicate that the proposed model is very promising and can be implemented in one-step or multistep ahead prediction.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xiang, Wu& Jian-sheng, Qian& Cheng-hua, Huang& Li, Zhang. 2014. Short-Term Coalmine Gas Concentration Prediction Based on Wavelet Transform and Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-503903
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xiang, Wu…[et al.]. Short-Term Coalmine Gas Concentration Prediction Based on Wavelet Transform and Extreme Learning Machine. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-503903
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xiang, Wu& Jian-sheng, Qian& Cheng-hua, Huang& Li, Zhang. Short-Term Coalmine Gas Concentration Prediction Based on Wavelet Transform and Extreme Learning Machine. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-503903
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-503903
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر