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T. Chandra Sekhara REDDY
《结构与土木工程前沿(英文)》 2018年 第12卷 第4期 页码 490-503 doi: 10.1007/s11709-017-0445-3
关键词: artificial neural networks root mean square error SIFCON silica fume metakaolin steel fiber
J. Sargolzaei, A. Hedayati Moghaddam
《化学科学与工程前沿(英文)》 2013年 第7卷 第3期 页码 357-365 doi: 10.1007/s11705-013-1336-3
关键词: oil recovery artificial intelligence extraction neural networks supercritical extraction
Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE
《结构与土木工程前沿(英文)》 2020年 第14卷 第3期 页码 609-622 doi: 10.1007/s11709-020-0623-6
关键词: Artificial Neural Networks seismic vulnerability masonry buildings damage estimation vulnerability curves
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
《结构与土木工程前沿(英文)》 2021年 第15卷 第2期 页码 520-536 doi: 10.1007/s11709-021-0689-9
关键词: unconfined compressive strength artificial neural network support vector machine predictive models regression
Yasser SHARIFI,Sajjad TOHIDI
《结构与土木工程前沿(英文)》 2014年 第8卷 第2期 页码 167-177 doi: 10.1007/s11709-014-0236-z
关键词: steel I-beams lateral-torsional buckling finite element (FE) method artificial neural network (ANN) approach
《环境科学与工程前沿(英文)》 2023年 第17卷 第1期 doi: 10.1007/s11783-023-1606-3
● Reducting the sampling frequency can enhance the modelling process.
关键词: HDPE Pyrolysis Kinetics Thermogravimetric ANOVA Artificial neural network
Service life prediction of fly ash concrete using an artificial neural network
《结构与土木工程前沿(英文)》 2021年 第15卷 第3期 页码 793-805 doi: 10.1007/s11709-021-0717-9
关键词: concrete fly ash carbonation neural networks experimental validation service life
Sadegh REZAEI,Asskar Janalizadeh CHOOBBASTI
《结构与土木工程前沿(英文)》 2014年 第8卷 第3期 页码 292-307 doi: 10.1007/s11709-014-0256-8
关键词: liquefaction microtremor vulnerability index artificial neural networks (ANN) microzonation
S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG
《能源前沿(英文)》 2016年 第10卷 第1期 页码 105-113 doi: 10.1007/s11708-016-0393-y
关键词: day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving entities
Arunachalam VELMURUGAN,Marimuthu LOGANATHAN,E. James GUNASEKARAN
《能源前沿(英文)》 2016年 第10卷 第1期 页码 114-124 doi: 10.1007/s11708-016-0394-x
关键词: cashew nut shell liquid (CNSL) artificial neural networks (ANN) thermal cracking mean square error (MSE)
Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD
《机械工程前沿(英文)》 2015年 第10卷 第2期 页码 154-167 doi: 10.1007/s11465-015-0336-z
The main proposition of the current investigation is to develop a computational intelligence-based framework which can be used for the real-time estimation of optimum battery state-of-charge (SOC) trajectory in plug-in hybrid electric vehicles (PHEVs). The estimated SOC trajectory can be then employed for an intelligent power management to significantly improve the fuel economy of the vehicle. The devised intelligent SOC trajectory builder takes advantage of the upcoming route information preview to achieve the lowest possible total cost of electricity and fossil fuel. To reduce the complexity of real-time optimization, the authors propose an immune system-based clustering approach which allows categorizing the route information into a predefined number of segments. The intelligent real-time optimizer is also inspired on the basis of interactions in biological immune systems, and is called artificial immune algorithm (AIA). The objective function of the optimizer is derived from a computationally efficient artificial neural network (ANN) which is trained by a database obtained from a high-fidelity model of the vehicle built in the Autonomie software. The simulation results demonstrate that the integration of immune inspired clustering tool, AIA and ANN, will result in a powerful framework which can generate a near global optimum SOC trajectory for the baseline vehicle, that is, the Toyota Prius PHEV. The outcomes of the current investigation prove that by taking advantage of intelligent approaches, it is possible to design a computationally efficient and powerful SOC trajectory builder for the intelligent power management of PHEVs.
关键词: trip information preview intelligent transportation state-of-charge trajectory builder immune systems artificial neural network
Estimation of optimum design of structural systems via machine learning
《结构与土木工程前沿(英文)》 2021年 第15卷 第6期 页码 1441-1452 doi: 10.1007/s11709-021-0774-0
关键词: optimization metaheuristic algorithms harmony search structural designs machine learning artificial neural networks
Novel interpretable mechanism of neural networks based on network decoupling method
《工程管理前沿(英文)》 2021年 第8卷 第4期 页码 572-581 doi: 10.1007/s42524-021-0169-x
关键词: neural networks interpretability dynamical behavior network decouple
《结构与土木工程前沿(英文)》 2021年 第15卷 第5期 页码 1181-1198 doi: 10.1007/s11709-021-0744-6
关键词: interaction load sharing ratio piled raft nonlinear regression artificial neural network
标题 作者 时间 类型 操作
Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network
T. Chandra Sekhara REDDY
期刊论文
Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks
J. Sargolzaei, A. Hedayati Moghaddam
期刊论文
The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for
Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE
期刊论文
Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
期刊论文
Lateral-torsional buckling capacity assessment of web opening steel girders by artificial neural networks
Yasser SHARIFI,Sajjad TOHIDI
期刊论文
Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificialneural networks
期刊论文
Liquefaction assessment using microtremor measurement, conventional method and artificial neural network
Sadegh REZAEI,Asskar Janalizadeh CHOOBBASTI
期刊论文
Day-ahead electricity price forecasting using back propagation neural networks and weighted least square
S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG
期刊论文
combustion and emission characteristics of diesel-thermal cracked cashew nut shell liquid blends using artificialneural network
Arunachalam VELMURUGAN,Marimuthu LOGANATHAN,E. James GUNASEKARAN
期刊论文
immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neuralnetworks for plug-in hybrid electric vehicles fuel economy
Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD
期刊论文