6533b82bfe1ef96bd128d8c6
RESEARCH PRODUCT
A Comparison between Habituation and Conscience mechanism in Self–Organizing Maps
Antonio ChellaRiccardo Rizzosubject
Self-organizing mapComputer Networks and CommunicationsGeneralizationComputer scienceconscienceunsupervised learningMachine learningcomputer.software_genreself-organizing mapself-organizing featureArtificial IntelligencemedicineHabituationCluster analysisArtificial neural networkbusiness.industrymapsGeneral MedicinehabituationComputer Science ApplicationsConscience learningmedicine.anatomical_structureUnsupervised learningNeuronArtificial intelligencebusinesscomputerSoftwaredescription
In this letter, a preliminary study of habituation in self-organizing networks is reported. The habituation model implemented allows us to obtain a faster learning process and better clustering performances. The liabituable neuron is a generalization of the typical neuron and can be used in many self-organizing network models. The habituation mechanism is implemented in a SOM and the clustering performances of the network are compared to the conscience learning mechanism that follows roughly the same principle but is less sophisticated.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-05-01 |