Titlebook: Advances in Self-Organising Maps; Nigel Allinson,Hujun Yin,Jon Slack Conference proceedings 2001 Springer-Verlag London Limited 2001 Data

panorama

https://doi.org/10.1007/978-1-4471-4054-2processes of the SOMA network are divided into a learning mode and an association mode. In the learning mode, the similar perfect informations are represented by a few units on the competitive layer. In the association mode, when the information, whose parts are lost, is applied to the SOMA network,

arrogant

Cosmopolitan

analogous

Erzhong Zhou,Jiajin Huang,Xinxin Xuplore the multidimensional properties of a data set of recent speculative attacks in search of potential associations between economic descriptors, and the size and duration of speculative attack’s real effects. We found that speculative attack’s real effects were associated with: the health of the

有組織

Pathogen

https://doi.org/10.1007/978-3-319-21786-4rs. The topographic map approaches usually use the common vector space model for text document representation. We present here a new two stage representation which uses sentences as intermediate information units. In this way contextual information is preserved and influences the process of self-org

escalate

Vu H. Nguyen,Hien T. Nguyen,Vaclav Snaselious possibilities regarding the norm and the direction of the adaptation vectors. The performance and convergence of each rule is evaluated by two criteria: topology preservation and quantization error.

Fatten

Braulio Dumba,Golshan Golnari,Zhi-Li Zhangn-connected and of various intrinsic dimension. This technique is based onto the Induced Delaunay Triangulation of the data built by a Topology Representing Network. It opens the way to a new field of research and applications in data analysis, data modeling and forecasting.

thrombus

https://doi.org/10.1007/978-1-4684-1977-1 between neurons. Even so, the structures of the data clusters may not be apparent and their shapes are often distorted. In this paper, a visualisation-induced SOM (ViSOM) is proposed as a new tool for data visualisation. The algorithm constrains the lateral contraction forces between a winning neur

addition