Forecast the Biological Activity of Nitrobenzene Compound Based on BP Neural Network

被引:0
|
作者
Jiang, HuiYu [1 ]
Jiang, HuiYong [2 ]
Wei, Tao [3 ]
Yang, Feng [1 ]
机构
[1] Wuhan Univ Sci & Engn, Dept Chem Engn, Wuhan 430073, Peoples R China
[2] Wujing Middle Sch Linqu, Shandong 262603, Peoples R China
[3] No 4 Middle Sch Linqu, Shandong 262603, Peoples R China
来源
PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS | 2008年
关键词
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
At present, the multivariate linear regression analysis was adopted in the biological toxicity forecast through establishment equation of the QSAR mostly, but the error forecasted was big in many situations because of the complexity and nonlinearity of structure-activity relationship, and it has a high request to the sample selection, In this paper forecast model of the nitrobenzene compound biological toxicity has been established based on the Levenberg_Marquardt BP neural network in this paper, The studies suggest that the BP network has the strong misalignment to approach ability, the fitting precision is good between the output and the sample, the result is better using the BP network to forecast, the correlation coefficient has achieved 0.999, the prediction error in the permission scope, the biggest absolute value of error is 0.05 in this parper. So it is a good forecast mode of the nitrobenzene compound biological activity.
引用
收藏
页码:1056 / +
页数:2
相关论文
共 50 条
  • [1] Forecast the Biological Activity of Nitrobenzene Compound Based on RBF Neural Network
    Jiang, HuiYu
    Dong, Min
    Yang, Feng
    2009 INTERNATIONAL CONFERENCE ON INDUSTRIAL MECHATRONICS AND AUTOMATION, 2009, : 65 - +
  • [2] BP neural network based population forecast
    Bi, Xiaolong
    Yuan, Yong
    Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering), 2007, 31 (03): : 556 - 558
  • [3] Based on BP neural network discrete data forecast
    Wang Jing
    Wang Guoli
    Wu Jianhui
    Su Yu
    INTELLIGENT STRUCTURE AND VIBRATION CONTROL, PTS 1 AND 2, 2011, 50-51 : 977 - 981
  • [4] Forecast of air temperature based on BP neural network
    Jiang, ZhengCun
    Jiang, WenPing
    2020 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS 2020), 2020, : 25 - 28
  • [5] A forecast method for trip production based on BP neural network
    Feng, Shu-Min
    Ci, Yu-Sheng
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2010, 42 (10): : 1624 - 1627
  • [6] Research on the Combination Forecast Model based on the BP Neural Network
    Zong, Shengwang
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, 2015, 17 : 49 - 53
  • [7] Forecast of Blasting Fragmentation Distribution Based on BP Neural Network
    Hong, Gao
    Liang, Fu Zhi
    HYDRAULIC EQUIPMENT AND SUPPORT SYSTEMS FOR MINING, 2013, 619 : 3 - +
  • [8] Application of BP Nerual Network into Prediction of Nitrobenzene Compound in Toxicity
    Jiang, HuiYu
    Dong, Min
    Yang, Feng
    SECOND INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING: WGEC 2008, PROCEEDINGS, 2008, : 170 - +
  • [9] Crude Oil Prices Forecast Based on EMD and BP Neural Network
    Yang, Hua
    Zhang, Yunfei
    Jiang, Feng
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 8944 - 8949
  • [10] CODMn forecast based on BP neural network at Yuqiao Reservoir in Tianjin
    Zhao, Ying
    Cui, Fu-Yi
    Guo, Liang
    Zhao, Zhi-Wei
    Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology, 2008, 32 (03): : 376 - 380