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Advanced Functional Materials, EarlyView.A multicomponent supramolecular hydrogel integrating cell‐adhesive and antibacterial peptides within an alginate‐cellulose nanofibril matrix is developed. Peptide co‐assembly simultaneously strengthens the hydrogel network, improves extrusion printability, and imparts cell‐adhesive and antibacterial functions, offering a versatile platform for ...
Mor Tsuriano‐Zernichov +4 more
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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), 2004This 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 +3 more
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Clustering of the self-organizing map
IEEE Transactions on Neural Networks, 2000The 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
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Multinomial Self Organizing Maps
2010 10th International Conference on Intelligent Systems Design and Applications, 2010Co-occurrence data matrices arise frequently in various important applications such as a document clustering. By considering a multinomial mixture model, we present a new probabilistic Self-Organizing Map (SOM) for clustering and visualizing this kind of data. Contrary to SOM, our proposed learning algorithm optimizes an objective function.
Faryel Allouti +2 more
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Proceedings of the IEEE, 1990
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Asynchronous self-organizing maps
IEEE Transactions on Neural Networks, 2000A recently defined energy function which leads to a self-organizing map is used as a foundation for an asynchronous neural-network algorithm. We generalize the existing stochastic gradient approach to an asynchronous parallel stochastic gradient method for generating a topological map on a distributed computer system (MIMD).
Maurice W. Benson, Jie Hu
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The chaotic self-organizing map
Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002A 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 +2 more
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Self-organized criticality and the self-organizing map
Physical Review E, 2001The self-organizing map (SOM), a biologically inspired, learning algorithm from the field of artificial neural networks, is presented as a self-organized critical (SOC) model of the extremal dynamics family. The SOM's ability to converge to an ordered configuration, independent of the initial state, is known and has been demonstrated, in the one ...
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Variants of self-organizing maps
IEEE Transactions on Neural Networks, 1990Self-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 +2 more
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Self-Organizing Map Convergence
International Journal of Service Science, Management, Engineering, and Technology, 2018Self-organizing maps are artificial neural networks designed for unsupervised machine learning. Here in this article, the authors introduce a new quality measure called the convergence index. The convergence index is a linear combination of map embedding accuracy and estimated topographic accuracy and since it reports a single statistically meaningful ...
Tatoian, Robert, Hamel, Lutz
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