Using GA-ANN Algorithm to Predicate Coal Bump Energy

被引：0
|
作者：
Tan, Yunliang [1 ]
Zhao, Tongbin [1 ]
Zhao, Zhigang [1 ]
机构：
[1] Key Lab Mine Disaster Prevent, Qingdao, Peoples R China
来源：
WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09) | 2009年
关键词：
Coal bump; energy; genetic algorithm; artificial neural network; predication;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A GA-ANN network was constructed for preidcating coal bump energy, based on the 300 training samples form simulated results with PFC2D software for different coal particle stiffness. It was tested that the average relative error of fitted-output value is only 2.5%, the averagre relative error of generalized predicated output is only 8.4%. It is valuable for coal bump energy predication.
引用
收藏
页码：973 / 976
页数：4
相关论文
共 50 条
  • [1] GA-ANN for Short-Term Wind Energy Prediction
    Kolhe, Mohan
    Lin, Tzu Chao
    Maunuksela, Jussi
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [2] GA－ANN　Algorithm　and　Its　Application　in　Fault　Diagnosis　of　Power　Transformer
    王大忠
    徐文
    周泽存
    陈珩
    Journal of Southeast University(English Edition), 1996, (02) : 71 - 75
  • [3] Intelligent Breast Cancer Diagnosis Using Hybrid GA-ANN
    Ahmad, Fadzil
    Isa, Nor Ashidi Mat
    Noor, Mohd Halim Mohd
    Hussain, Zakaria
    2013 FIFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, COMMUNICATION SYSTEMS AND NETWORKS (CICSYN), 2013, : 9 - 12
  • [4] ANN/GA-ANN modeling study on operating parameter prediction for waste-to-energy plant
    Baogang Bai
    Yuhe Bai
    Guoqing Wang
    Xiaoyu Bao
    Huijie Wang
    Biomass Conversion and Biorefinery, 2024, 14 : 4283 - 4298
  • [5] ANN/GA-ANN modeling study on operating parameter prediction for waste-to-energy plant
    Bai, Baogang
    Bai, Yuhe
    Wang, Guoqing
    Bao, Xiaoyu
    Wang, Huijie
    BIOMASS CONVERSION AND BIOREFINERY, 2024, 14 (03) : 4283 - 4298
  • [6] Modeling of Basil Leaves Drying by GA-ANN
    Taheri-Garavand, Amin
    Rafiee, Shahin
    Keyhani, Alireza
    Javadikia, Payam
    INTERNATIONAL JOURNAL OF FOOD ENGINEERING, 2013, 9 (04) : 393 - 401
  • [7] Genetic Algorithm - Artificial Neural Network (GA-ANN) Hybrid Intelligence for Cancer Diagnosis
    Ahmad, Fadzil
    Mat-Isa, Nor Ashidi
    Hussain, Zakaria
    Boudville, Rozan
    Osman, Muhammad Khusairi
    2010 SECOND INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, COMMUNICATION SYSTEMS AND NETWORKS (CICSYN), 2010, : 78 - 83
  • [8] Modelling of Decision Making in the Production of Stator Core Using a GA-ANN Approach
    Rajora, Manik
    Zou, Pan
    Xu, Wei
    Jin, Li-wei
    Chen, Wei-wei
    Liang, Steven Y.
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: TECHNIQUES AND APPLICATIONS, AITA 2016, 2016, : 69 - 73
  • [9] Using GA-ANN algorithm to optimize soft magnetic properties of nanocrystalline mechanically alloyed Fe-Si powders
    Yazdanmehr, M.
    Anijdan, S. H. Mousavi
    Bahrami, A.
    COMPUTATIONAL MATERIALS SCIENCE, 2009, 44 (04) : 1218 - 1221
  • [10] Comparing ANFIS and integrating algorithm models (ICA-ANN, PSO-ANN, and GA-ANN) for prediction of energy consumption for irrigation land leveling
    Alzoubi, Isham
    Delavar, Mahmoud R.
    Mirzaei, Farhad
    Arrabi, Babak Nadjar
    GEOSYSTEM ENGINEERING, 2018, 21 (02) : 81 - 94
12345