NDLI: Network based on SOM (Self-Organizing-Map) modules combined with statistical decision tools

Content Provider	IEEE Xplore Digital Library
Author	Graupe, D. Kordylewski, H.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA (Graupe, D.)
Abstract	The neural network discussed in this paper is a self trained network for LArge Memory STorage And Retrieval (LAMSTAR) of information. It employs features such as forgetting, interpolation, extrapolation and filtering, to enhance processing and memory efficiency. The network is based on SOM (Self-Organizing-Map) modules which are modified such that only a limited number of neurons per each module is processed at a given iteration. It employs arrays of link-weight vectors to channel information vertically and horizontally through the network. Direct feedback and up/down counting serve to set these link weights as is a higher-hierarchy performance evaluator element which also provides high level interrupts. Pseudo random modulation of the link weights prevents dogmatic network behavior. The input word is a coded vector X of sub-words (sub-vectors) xi. Each sub-word corresponds to a different category (feature, attribute) of the input word and is processed by a different SOM-type module. The authors have applied the network to simulated medical diagnosis. With adequate input coding, other applications are possible, such as scene recognition and speech recognition. Diagnosis is facilitated by the interpolation/extrapolation capabilities above.
Starting Page	471
Ending Page	474
File Size	417991
Page Count	4
File Format	PDF
ISBN	0780336364
DOI	10.1109/MWSCAS.1996.594203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-08-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Extrapolation Speech recognition Neural networks Information retrieval Filtering Neurons Neurofeedback Medical simulation Medical diagnosis
Content Type	Text
Resource Type	Article

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