Application of Artificial Neural Network in Engineering
摘要
This paper mainly studies the dynamic direction of engineering valuation based on the artificial neural network methods,and seeks for a set of rapid,convenient and practical valuation models,for building construction projects.
基金
"Challenge Cup"Support Project of Science and Technology Innovation Fund for College Students of Nanjing University of Engineering(No.TZ20200014)。
二级参考文献17
-
1王存睿,段晓东,刘向东,周福才.改进的基本粒子群优化算法[J].计算机工程,2004,30(21):35-37. 被引量:43
-
2何伟,李亚伟,金栋,刘光岩.基于PSO的模糊人工神经网络径流预报模型[J].气象水文海洋仪器,2004,21(2):18-21. 被引量:4
-
3贾丽会,张修如.BP算法分析与改进[J].计算机技术与发展,2006,16(10):101-103. 被引量:47
-
4Hayking S. Neural Networks: A Comprehensive Foundation [M]. Prentice-Hall, 1999.
-
5Funhashi K.I. On the approximate realization of continuous mappings by neural networks[J]. Neural Networks, 1989, 2(3): 183-192.
-
6Homik K. Approximation capabilities of multilayer feedforward networks[J]. Neural Networks, 1991, 4(2): 251-257.
-
7Angeline P. Evolutionary optimization versus particle optimization: Philosophy and performance differences [A]. Springer, 1998: 601-610.
-
8Kannan S., Slochanal S., Subbara J P., et al. Application of particle swarm optimization technique and its variants to generation expan- sion planning problem [J]. Electric Power Systems Research, 2004, 70(3): 203-210.
-
9Kennedy J., Eberhart R. Particle swarm optimization [A]. IEEE, 1995:1942-1948.
-
10徐旭,姜飞.简述粒子群算法的原理及改进[J].计算机学报,2008,2(12).
共引文献4
-
1李德文,杨海东.基于EMD的诺敏河流域径流序列变化特征分析[J].区域治理,2018,0(52):244-244.
-
2蒋林利.基于改进PSO-NN的径流水位预报研究[J].湘潭大学自然科学学报,2016,38(4):67-70. 被引量:2
-
3顿晓晗,周建中,曾小凡.基于改进杂草算法优化的神经网络模型在径流预报中的应用[J].水电能源科学,2018,36(5):17-20. 被引量:3
-
4孙艳,刀海娅.自适应变异粒子群算法与支持向量机在农业用水预测中的应用[J].水资源与水工程学报,2015,26(3):231-236. 被引量:8
-
1黄忠财,许泽琪,王磊,曹建涛,董志明.BIM 技术在公路岩溶隧道勘察设计中的应用[J].公路,2020,65(11):385-389. 被引量:10
-
2Elena Kapustina,Eugene Shutov,Anna Barskaya,Agata Kalganova.Predicting Electric Energy Consumption for a Jerky Enterprise[J].Energy and Power Engineering,2020,12(6):396-406.
-
3Rahmatollah Niakan Lahiji,Naghmeh Mobarghaee Dinan,Houman Liaghati,Hamidreza Ghaffarzadeh,Alireza Vafaeinejad.Scenario-based estimation of catchment carbon storage: linking multi-objective land allocation with InVEST model in a mixed agriculture-forest landscape[J].Frontiers of Earth Science,2020,14(3):637-646. 被引量:3
-
4范德源,刘学生,谭云亮,宋世琳,宁建国,马庆.动静载荷下深部超大断面硐室围岩响应特性的数值模拟研究[J].Journal of Central South University,2020,27(12):3544-3566. 被引量:12
-
5王明政,王毅杰,王天予,侯林早,李冕.New Approach for Information Security Evaluation and Management of IT Systems in Educational Institutions[J].Journal of Shanghai Jiaotong university(Science),2020,25(6):689-699.
-
6亢春彦,张秀芝,王丹丹,高凤兰,王风翔,陈洁.基于肺癌患者8个抑癌基因启动子CpG岛甲基化构建人工神经网络筛查模型[J].中华肿瘤防治杂志,2020,27(21):1718-1724. 被引量:4