Results 261 to 270 of about 7,151,068 (329)

Clustering of the self-organizing map

IEEE Transactions on Neural Networks, 2000
The self-organizing map (SOM) is an excellent tool in exploratory phase of data mining. It projects input space on prototypes of a low-dimensional regular grid that can be effectively utilized to visualize and explore properties of the data. When the number of SOM units is large, to facilitate quantitative analysis of the map and the data, similar ...
Juha Vesanto, Esa Alhoniemi
semanticscholar   +3 more sources

A Self-Rectifying Synaptic Memristor Array with Ultrahigh Weight Potentiation Linearity for a Self-Organizing-Map Neural Network.

Nano letters (Print), 2023
Two-terminal self-rectifying (SR)-synaptic memristors are preeminent candidates for high-density and efficient neuromorphic computing, especially for future three-dimensional integrated systems, which can self-suppress the sneak path current in crossbar ...
Heng-Jie Zhang, Bi-Yi Jiang, Chuan-Tong Cheng, Beiju Huang, Huan Zhang, Run Chen, Jiayi Xu, Yulong Huang, Hong-da Chen, Wei-Hua Pei, Yang Chai, F. Zhou   +11 more
semanticscholar   +1 more source

Self-organizing map improves understanding on the hydrochemical processes in aquifer systems.

Science of the Total Environment, 2022
The holistic understanding of hydrochemical features is a crucial task for management and protection of water resources. However, it is challenging for a complex region, where multiple factors can cause hydrochemical changes in studied catchment.
A. T. M. Sakiur Rahman, Y. Kono, T. Hosono   +2 more
semanticscholar   +1 more source

Anomaly Detection Via Self-Organizing Map

International Conference on Information Photonics, 2021
Anomaly detection plays a key role in industrial manufacturing for product quality control. Traditional methods for anomaly detection are rule-based with limited generalization ability.
Ning Li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiao-Peng Hong, Yi-Hong Gong   +5 more
semanticscholar   +1 more source

Influence of mining activities on groundwater hydrochemistry and heavy metal migration using a self-organizing map (SOM)

Journal of Cleaner Production, 2020
Tongling is a typical metal ore concentration area in the Yangtze Metallogenic Region. Years of mining activities have resulted in serious regional groundwater problems.
G. Zhu, Xiong Wu, Jian-Ping Ge, Fei Liu, Weiguang Zhao, Chu Wu   +5 more
semanticscholar   +1 more source

Elucidating the differentiation of soil heavy metals under different land uses with geographically weighted regression and self-organizing map.

Environmental Pollution, 2020
Intensive anthropogenic activity has triggered serious heavy metal contamination of soil. Land use and land cover (LULC) changes bear significant impacts, either directly or indirectly, on the distribution of heavy metal in soils.
Zhang-Qiao Wang, Jun Xiao, Ling-Qing Wang, T. Liang, Qing-Jun Guo, Yun-Lan Guan, J. Rinklebe   +6 more
semanticscholar   +1 more source

Personalized mental stress detection with self-organizing map: From laboratory to the field

Comput. Biol. Medicine, 2020
Stress has become a major health concern and there is a need to study and develop new digital means for real-time stress detection. Currently, the majority of stress detection research is using population based approaches that lack the capability to ...
Jaakko Tervonen, S. Puttonen, M. Sillanpää, Leila Hopsu, Zsolt Homorodi, Janne S. Keränen, J. Pajukanta, A. Tolonen, Arttu Lämsä, Jani Mäntyjärvi   +9 more
semanticscholar   +1 more source

The diffuse self-organizing map

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
This paper proposes a new diffuse self-organizing map (DSOM), which is a competitive self-organizing neural network that can forms a topological map of the input vector space in a circle-shaped region. Active and inactive neurons are introduced to restrict the range of competition and the size of the final map.
Yi Wang, ChuanHua Zeng, Ting Mei, Wenqing Liu   +3 more
openaire   +2 more sources

The chaotic self-organizing map

Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002
A chaotic self-organizing map can be produced by replacing the linear neural units of the conventional self-organizing map with neural units capable of producing chaos. The introduction of chaos into the self-organizing map is shown to improve the ability of the network to cluster input patterns. >
Alison A. Dingle, John H. Andreae, Richard D. Jones   +2 more
openaire   +1 more source

Variants of self-organizing maps

IEEE Transactions on Neural Networks, 1990
Self-organizing maps have a bearing on traditional vector quantization. A characteristic that makes them more closely resemble certain biological brain maps, however, is the spatial order of their responses, which is formed in the learning process. A discussion is presented of the basic algorithms and two innovations: dynamic weighting of the input ...
Jari Kangas 0001, Teuvo Kohonen, Jorma Laaksonen   +2 more
openaire   +3 more sources