{"title":"DENDRITE: A system for visual interpretation of neural network data","authors":"Warren T. Jones, R. K. Vachha, A. Kulshrestha","doi":"10.1109/SECON.1992.202274","DOIUrl":null,"url":null,"abstract":"DENDRITE is a visualization system being developed that helps interpret neural network (NN) data. DENDRITE's design consists of three overlapping modules: the graphical representation of the network: the interface between the NN simulation, the representation of the analyzed data, and the NN itself; and data analysis. The backpropagation algorithm was selected to train the network. The graphical representation aids the researcher in visually perceiving the dynamic nature of the network as it is being trained with a given configuration and data. The system basically consists of a graphical user interface with a toolkit that contains primitives to build a neural network, and an interface to a library of mathematical and statistical functions.<<ETX>>","PeriodicalId":230446,"journal":{"name":"Proceedings IEEE Southeastcon '92","volume":"46 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Southeastcon '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1992.202274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
DENDRITE is a visualization system being developed that helps interpret neural network (NN) data. DENDRITE's design consists of three overlapping modules: the graphical representation of the network: the interface between the NN simulation, the representation of the analyzed data, and the NN itself; and data analysis. The backpropagation algorithm was selected to train the network. The graphical representation aids the researcher in visually perceiving the dynamic nature of the network as it is being trained with a given configuration and data. The system basically consists of a graphical user interface with a toolkit that contains primitives to build a neural network, and an interface to a library of mathematical and statistical functions.<>
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