self organising map (SOM)
Combining a self organising map with memory based learning
... Memory-based learning (MBL) has enjoyed considerable success in corpus-based natural language process- ing (NLP) tasks and is thus a reliable method of getting a high-level of per- formance when building corpus-based NLP ...
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Self organising map machine learning approach to pattern recognition for protein secondary structures and robotic limb control
... a self-organising map (SOM), called Secondary Structure Neural Network (SSNN), to cluster a database of CD spectra and use that map to assign the secondary structure content of new proteins ...
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Extending the Kohonen Self-Organising Map by Use of Adaptive Parameters and Temporal Neurons
... Kohonen himself has in th e past described using ‘rules of th u m b ’ for th e initial learning param eters of th e self-organising map, and for their rates of change dur ing learning. These are ...
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Multiple 2D self organising map network for surface reconstruction of 3D unstructured data
... the Self Organising Map (SOM) model is used to organise the unstructured data in Do Rêgo and Araújo (2010) and Iglesias and Gálvez (2014) while Genetic Algorithm (GA), Differential Evolution (DE) and ...
38
Use of the self-organising map network (SOMNet) as a decision support system for regional mental health planning
... An alternative is to combine artificial neuronal networks (ANNs) with advanced information visualisation tech- niques in a single DSS. Based on the demand, the aim of this study is to assess a new DSS model using a novel ...
17
Using artificial neural network-self-organising map for data clustering of marine engine condition monitoring applications
... clustering requiring previous information on the dataset. Further performance studies have demonstrated the advantages of the self-organizing map over other common clustering approaches. The SOM is a ...
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Using artificial neural network-self-organising map for data clustering of marine engine condition monitoring applications
... clustering requiring previous information on the dataset. Further performance studies have demonstrated the advantages of the self-organizing map over other common clustering approaches. The SOM is a ...
24
Classification of Cardiac Arrhythmia using Hybrid Technology of Fast Discrete Stockwell-Transform (FDST) and Self Organising Map
... The above figures are shown for a trained network which uses batch training based SOMs, the major advantage of using SOMs in clustering of data comes in form so many visualization tools. As shown in above figures the ...
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Visualising Class Distribution on Self-Organising Maps
... The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering ...the map can help the user to gain a better ...
10
A comparative analysis of Eurasian folksong corpora, using self organising maps
... a self organising map, is called “excitation of the map by the corpus ...the map can be visualized by marking the lattice points hit by the exciting contour type ...common map ...
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In vitro organogenesis in three dimensions: self organising stem cells
... that self- organising mechanisms play substantial roles in establishing local tissue architecture, while interactions with neighbouring tissues contribute to robust determination of the location and number ...
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A Self-Organising Multi-Agent System For Decentralised Forensic Investigations
... Each feature (f ∈ F) describes the type of information while the value-set V describes the range of possible values the feature may take. The heterogeneity of technologies found on the modern network is vast, and so ...
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Self-organising low Earth orbit constellations for Earth observation
... a self-organising micro-satellite con- stellation, capable of manipulating its repeat ground-tracks to pass over specified targets on the Earth’s ...
15
Autonomously Controlled Terminal Mobility in Self-Organising Radio Access Network.
... the self-organising networks area is the UE mechanism to support idle mode cell reselection parameters, where the new optimisation methods need to be defined and ...
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Spontaneous emergence of Community OR : self initiating, self organising problem structuring mediated by social media
... a self-initiating, self- organising community actor network emerging spontaneously in response to a triggering event and showing evidence of non-codified OR behaviours leading to action to improve ...
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Self-Organising Mechanisms from Social and Business/Economics Approaches
... Nowadays computing systems are open systems evolving in a dynamic complex environment. They are designed as sets of interacting components, highly distributed both con- ceptually and physically. The growing complexity of ...
10
Self-organising smart grid architectures for cyber-security
... A self-organising architecture would be able to deliver the greater resistance to an ongoing threat as it will have the capacity to isolate members of the agent population or replace agents under attack and ...
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Global spatial impact and local self-organising processes 52
... Six social housing settlements located in the same local authority in Santiago de Chile, with similar social characteristics but with different spatial characteristics, were selected, an[r] ...
8
Discovery of Stable Peers in a Self Organising Peer to Peer Gradient Topology
... This paper presents an approach where peers periodically measure their per- formance and stability properties, using a utility metric, exchange their measure- ments with neighbours, and construct a ...
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Transformational and shared leadership in self-organising teams: an action research study
... with self-organising teams in agile software development, the members of such self-organising teams are highly skilled and experts in their respective ...in self- organising or ...
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