Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Xiyu Liu"'
Autor:
Qianqian Ren, Xiyu Liu
Publikováno v:
Complexity, Vol 2021 (2021)
Due to the inevitable delay phenomenon in the process of signal conversion and transmission, time delay is bound to occur between neurons. Therefore, it is necessary to introduce the concept of time delay into the membrane computing models. Spiking n
Publikováno v:
Mathematical Problems in Engineering, Vol 2020 (2020)
An extended clustering membrane system using a cell-like P system with active membranes based on particle swarm optimization (PSO), named PSO-CP, is designed, developed, implemented, and tested. The purpose of PSO-CP is to solve clustering problems.
Publikováno v:
IEEE Access, Vol 8, Pp 154502-154517 (2020)
Consensus clustering algorithm, which integrates several clustering results obtained by common algorithms, can find a better result that is independent on parameter settings. However, this kind of algorithm is often designed based on simple, such as
Publikováno v:
IEEE Access, Vol 8, Pp 113900-113917 (2020)
Density Peaks Clustering (DPC) is a density-based clustering algorithm that has the advantage of not requiring clustering parameters and detecting non-spherical clusters. The density peaks algorithm obtains the actual cluster center by inputting the
Publikováno v:
International Journal of Parallel, Emergent and Distributed Systems. 36:3-10
The K-means algorithm gets widely used due to its simplicity and effectiveness. But it is sensitive to the selection of initial cluster centres. In this paper, we proposed an initialisation method ...
Publikováno v:
IEEE Access, Vol 7, Pp 84565-84579 (2019)
Clustering algorithms have attracted a lot of attentions recently in real-world applications. However, the traditional clustering algorithms still have plenty of defects which are not yet resolved. In this paper, a kernel-based intuitionistic fuzzy C
Publikováno v:
IEEE Access, Vol 7, Pp 143511-143523 (2019)
Clustering is a classic combined optimization problem that is widely used in pattern recognition, image processing, market analysis and so on. However, the efficiency of clustering algorithms decreases as the amount of data increases. In addition, mo
Publikováno v:
IEEE Access, Vol 7, Pp 18821-18839 (2019)
Multi-objective optimization is important for many businesses, science, and engineering applications. Existing evolutionary algorithms for multi-objective optimization problems based on single chain encoding still have difficulties in obtaining high-
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
BBO is one of the new metaheuristic optimization algorithms, which is based on the science of biogeography. It can be used to solve optimization problems through the migration and drift of species between habitats. Many improved BBO algorithms have b
Publikováno v:
2020 7th International Conference on Information Science and Control Engineering (ICISCE).
With the development of technology, increasing number of online data saved by texts has came into our life. Traditional machine learning classifier, such as SVM and naive Bayes, works well for many text classification tasks. However, these classifier