全部文献期刊会议图书|学者科研项目
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作者:Tianyu Kang , Wei Ding , Luoyan Zhang ...
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)
摘要:... In this paper, we develop a biological network-based regularized artificial neural network model for prediction of phenotype from transcriptomic measurements in clinical trials. To improve model sparsity and the overall reproducibility of the model, we incorporate regularizat...
作者:Pudong Liu , Runhe Shi , Chao Zhang ...
来源:[J].Environmental Monitoring and Assessment(IF 1.592), 2017, Vol.189 (11)
摘要:... After performing a sensitivity analysis for all 79 spectral indices, five spectral indices were selected and integrated using an artificial neural network (ANN) to estimate the Cab content of different competition ratios: the Gitelson ratio green index, the transformed chlo...
作者:M. Kamruzzaman , Saadman Sakib Rahman , Md. Zurais Ibne Ashraf ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.90 (5-8), pp.1547-1568
摘要:... Further, artificial neural network (ANN) model has been developed and the prediction performance was compared with the cubic equations of RSM. It was observed that during testing phase MAPE and coefficient of determination ( R 2) for RSM is 1.947 and 94.48 %, res...
作者:Olivier Sheik Amamuddy , Nigel T. Bishop , Özlem Tastan Bishop
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)
摘要:... Artificial Neural Networks (ANNs) are a powerful tool that would be able to assist in drug resistance prediction. In this study, we constrained the dataset to subtype B, sacrificing generalizability for a higher predictive performance, and demonstrated that the predictive qua...
作者:Dibyendu Deb , J. P. Singh , Shovik Deb ...
来源:[J].Environmental Monitoring and Assessment(IF 1.592), 2017, Vol.189 (11)
摘要:... Using Resourcesat-2 satellite data and Normalized Difference Vegetation Index (NDVI), this pilot scale study compared traditional linear and nonlinear models with an artificial intelligence-based non-parametric technique, i.e. artificial neural network (ANN) for formulation o...
作者:Ainy Hafeez , Syed Ali Ammar Taqvi , Tahir Fazal ...
来源:[J].Journal of Cleaner Production(IF 3.398), 2020, Vol.252
摘要:... However, modeling tools such as Response Surface Methodology and Artificial Neural Network provides an opportunity to study the interaction between parameters and propose a mathematical model to predict ozone concentration under various experimental conditions. A robust model...
作者:Reza Roohi , Mohammad Jafari , Esfandiar Jahantab ...
来源:[J].Journal of Geochemical Exploration(IF 1.952), 2020, Vol.208
摘要:... It also determines the applicability of artificial neural network (ANN) in the modeling of the extraction process. The physiochemical properties of the contaminated soil, including pH, Electrical Conductivity (ECe), Cation Exchange Capacity (CEC) and Sodium Adsorption Ratio (...
作者:D. Babu , Vinoth Thangarasu , Anand Ramanathan
来源:[J].Applied Energy(IF 4.781), 2020, Vol.263
摘要:... Also, an artificial neural network is employed to forecast engine characteristics. Engine test is conducted under 100% load condition through an optimized nozzle opening pressure of 500 bar. Pre-injection timing is fixed permanently at 30 °CA bTDC, main injection timing var...
作者:Z. Sekulić , D. Antanasijević , S. Stevanović ...
来源:[J].International Journal of Environmental Science and Technology(IF 1.844), 2017, Vol.14 (7), pp.1383-1396
摘要:... Two approaches of preparation of input data and two different artificial neural network architectures, general regression neural network and back-propagation neural network have been used for modeling of experimental data. The extrapolation ability of selected architectures, ...
作者:Zhen-Hua Wang , Dian-Yao Gong , Xu Li ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.93 (9-12), pp.3325-3338
摘要:An artificial neural network (ANN) optimized by genetic algorithm (GA) is an established prediction model of bending force in hot strip rolling. The data are collected from factory of steel manufacture. Entrance temperature and thickness, exit thickness, strip width, rolling fo...

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