Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hong-Qiong Huang"'
Publikováno v:
Applied Mechanics and Materials. :459-462
Alkali niobate lead-free piezoelectric ceramics with nominal compositions [(Na0.52K0.48)0.94+ xLi0.06-x](Nb0.94Sb0.06)O3 ((NK)xLNS) were prepared by normal sintering. Crystalline phase, piezoelectric properties and sintering behavior of (NK)xLNS cera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::096d71d8b7aa1155c6c4a6f73464d8eb
https://doi.org/10.4028/www.scientific.net/amm.423-426.459
https://doi.org/10.4028/www.scientific.net/amm.423-426.459
Publikováno v:
Advanced Materials Research. :893-897
Based on the idea of the neural network, intelligent computing methods are used to analyze temporal and spatial data. We present the temporal and spatial autocorrelation moving average (STARMA) model based on the in-depth systematic study on time seq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66e6ffd7f817e9d399d2bf025b59336f
https://doi.org/10.4028/www.scientific.net/amr.108-111.893
https://doi.org/10.4028/www.scientific.net/amr.108-111.893
Publikováno v:
2009 International Conference on Machine Learning and Cybernetics.
Data mining is a nontrivial process so that we can identify the effective, unknown, potentially useful and ultimately apprehensible pattern from databases. Clustering analysis is an important approach of data mining. This paper introduces a new conce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b558cdc6796fa3743701ef6408366b7b
https://doi.org/10.1109/icmlc.2009.5212781
https://doi.org/10.1109/icmlc.2009.5212781
Publikováno v:
2009 International Conference on Machine Learning and Cybernetics.
Traffic flow data are in the form of spatial time series and are collected at specific locations at constant intervals of time. Space-time autoregressive time series modeling is a promising inductive method that uses a small number of parameters and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::442313351775bb08888c4ef8422537b2
https://doi.org/10.1109/icmlc.2009.5212785
https://doi.org/10.1109/icmlc.2009.5212785