Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mingchen Yao"'
Autor:
Yue Zhang, Xiaoming Li, Anran Ren, Mingchen Yao, Chen Chen, Haichen Zhang, Walter van der Meer, Gang Liu
Publikováno v:
Environment International, Vol 190, Iss , Pp 108893- (2024)
Treated drinking water is delivered to customers through drinking water distribution systems (DWDSs). Although studies have focused on exploring the microbial ecology of DWDSs, knowledge about the effects of different water treatments on the bacteria
Externí odkaz:
https://doaj.org/article/357560d09a35408784005d81a4afaec2
Autor:
Anran Ren, Mingchen Yao, Jiaxing Fang, Zihan Dai, Xiaoming Li, Walter van der Meer, Gertjan Medema, Joan B. Rose, Gang Liu
Publikováno v:
Environment International, Vol 185, Iss , Pp 108538- (2024)
Although simulated studies have provided valuable knowledge regarding the communities of planktonic bacteria and biofilms, the lack of systematic field studies have hampered the understanding of microbiology in real-world service lines and premise pl
Externí odkaz:
https://doaj.org/article/4547f2728c184d54b7754815873bb34f
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2015 (2015)
Many generalization results in learning theory are established under the assumption that samples are independent and identically distributed (i.i.d.). However, numerous learning tasks in practical applications involve the time-dependent data. In this
Externí odkaz:
https://doaj.org/article/094c7b750f99473da02127b1dd29e202
Publikováno v:
Neurocomputing. 368:146-152
This paper is concerned with the sparsification of the input-hidden weights of ELM (extreme learning machine). For ordinary feedforward neural networks, the sparsification is usually done by introducing certain regularization technique into the learn
Autor:
Zhe Sage Chen, Jing Wang, Qiaosheng Zhang, Mingchen Yao, Yuru Song, Helen Kemprecos, Áine Byrne, Amrita Singh, Zhengdong Xiao
Publikováno v:
J Comput Neurosci
Pain is a complex, multidimensional experience that involves dynamic interactions between sensory-discriminative and affective-emotional processes. Pain experiences have a high degree of variability depending on their context and prior anticipation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08be3bbe503c9481444fb5820af8cd8b
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2015 (2015)
Many generalization results in learning theory are established under the assumption that samples are independent and identically distributed (i.i.d.). However, numerous learning tasks in practical applications involve the time-dependent data. In this
Publikováno v:
Neurocomputing. 89:141-146
This paper investigates the batch back-propagation algorithm with penalty for training feedforward neural networks. A usual penalty is considered, which is a term proportional to the norm of the weights. The learning rate is set to be a small constan
Publikováno v:
IEEE Transactions on Neural Networks. 20:1050-1054
In this brief, we consider an online gradient method with penalty for training feedforward neural networks. Specifically, the penalty is a term proportional to the norm of the weights. Its roles in the method are to control the magnitude of the weigh
Publikováno v:
ICNC
In this paper the penalty term and momentum term are used in batch gradient method which improve the learning method for one-dimensional gray neural network model (GNNM(1,1)). Moreover, the convergence of the modified batch gradient method for GNNM(1
Publikováno v:
2011 International Conference on Computer Science and Service System (CSSS).
Gray neural network GNNM(1,1) is a coupled model of gray system and neural network. In this note, the convergence of a batch gradient learning method for GNNM(1,1) is proved, and supporting numerical experiments are provided.