NDLI: Vector Quantization System Based on Scalar SOM/AND-OR Hybrid Network

Content Provider	IEEE Xplore Digital Library
Author	Hikawa, H.
Copyright Year	2006
Description	Author affiliation: Oita Univ., Oita (Hikawa, H.)
Abstract	This paper proposes new vector quantization algorithm, and its hardware configuration is discussed. The system is based on the combination of self-organizing map (SOM) and AND-OR network. The SOM is used to preprocess the input vectors and the AND-OR network is used to identify the categories to which the input vectors belong. The proposed system uses a simplified SOM that handles a scalar input instead of the vector input. N-dimensional input vector is split into N scalars, each of which is processed by the scalar SOM (SSOM). The input vector space is divided into multiple blocks, and the blocks belonging to a same class are selected as a single group. The class is identified by the group to which the input vector belongs. The AND-OR network is trained to do the selection by supervised Hebbian learning rule. The proposed system is designed so that it can be easily implemented with digital hardware. VHDL simulations are conducted to verify the feasibility of the system. The results show that the proposed system successfully classifies data set with very complicated distribution. The circuit size of the system is smaller than that of the conventional SOM, while its performance is estimated as 6.25 million vectors processed per second.
Starting Page	1489
Ending Page	1496
File Size	310189
Page Count	8
File Format	PDF
ISBN	0780394909
DOI	10.1109/IJCNN.2006.246871
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-16
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vector quantization Prototypes Hardware Neurons Computer science Hybrid intelligent systems Intelligent networks Electronic mail Data preprocessing Hebbian theory
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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