|
|
|
|
|
Guang Yang, Jin Sun, Jianwei Zhang, Jingtai Niu, Bowen Luan, Zhendong Huang and Ahui Zhao
It is significant to adopt scientific temperature control criteria for high concrete dams in the construction period according to practical experience and theoretical calculation. This work synthetically uses information entropy and a cloud model and dev...
ver más
|
|
|
|
|
|
|
|
|
Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan and Hanif Heidari
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation me...
ver más
|
|
|
|
|
|
|
|
|
Huisheng Yu, Xinyue Zhang, Wenbo Yu, Yanpeng Gao, Yuyu Xue, Wei Sun and Dongqi Sun
Studying land comprehensive carrying capacity (LCCC) is the foundational and key requirement for determining land development planning and urban spatial development patterns of a region. However, the traditional evaluation method discounts the fuzziness ...
ver más
|
|
|
|
|
|
|
|
|
Amna Al-Sayed, Mashael M. Khayyat and Nuha Zamzami
Different data types are frequently included in clinical data. Applying machine learning algorithms to mixed data can be difficult and impact the output accuracy and quality. This paper proposes a hybrid model of unsupervised and supervised learning tech...
ver más
|
|
|
|
|
|
|
|
|
Jiang Fan, Qinghao Yuan, Fulei Jing, Hongbin Xu, Hao Wang and Qingze Meng
The emerging Local Maximum-Entropy (LME) approximation, which combines the advantages of global and local approximations, has an unsolved issue wherein it cannot adaptively change the morphology of the basis function according to the local characteristic...
ver más
|
|
|
|