منابع مشابه
Dynamic self-organising map
6 We present in this paper a variation of the self-organising map algorithm where the original 7 time-dependent (learning rate and neighbourhood) learning function is replaced by a time8 invariant one. This allows for on-line and continuous learning on both static and dynamic 9 data distributions. One of the property of the newly proposed algorithm is that it does 10 not fit the magnification l...
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Besides their typical classification task, Self-Organizing Maps (SOM) can be used to approximate inputoutput relations. They provide an economic way of storing the essence of past data into input/output support vector pairs. In this paper the SOLIM algorithm (Self-Organising Locally Interpolating Map) is reviewed and an extrapolation method is introduced. This framework allows finding one inver...
متن کاملIncremental Self-Organizing Map (iSOM) in Categorization of Visual Objects
We present a modification of the well-known Self-Organizing Map (SOM) in which we incrementally allocate the neuronal nodes to progressively added new stimuli. Our incremental SOM (iSOM) aims at the situation when a stimulus, or percept, is represented by a number of neuronal nodes a typical case in biological situation when the redundancy of representation of data is important. The iSOM is app...
متن کاملSelf-Organising Locally Interpolating Maps in Control Engineering
The work is motivated by problems during automated motion control of mobile microrobots. Microrobots are only cm-sized but can manipulate objects in the sub-micrometre-range. For a high positioning accuracy the microrobot’s actuator controller must be correspondingly accurate. But since a microrobot’s motion behaviour is difficult to model and since the model parameters even change with time, a...
متن کاملBregman Divergences and the Self Organising Map
We discuss Bregman divergences and the very close relationship between a class of these divergences and the regular family of exponential distributions before applying them to various topology preserving dimension reducing algorithms. We apply these methods to identification of structure in magnetic resonance images of the brain and show that different divergences reveal different structure in ...
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ژورنال
عنوان ژورنال: Electronics Letters
سال: 1999
ISSN: 0013-5194
DOI: 10.1049/el:19991149