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Title: A fuzzy clustering neural networks (FCNs) system design methodology
Authors: Zhang, DD 
Pal, SK
Issue Date: Sep-2000
Source: IEEE transactions on neural networks, Sept. 2000, v. 11, no. 5, p.1174-1177
Abstract: A system design methodology for fuzzy clustering neural networks (FCNs) is presented. This methodology emphasizes coordination between FCN model definition, architectural description, and systolic implementation. Two mapping strategies both from FCN model to system architecture and from the given architecture to systolic arrays are described. The effectiveness of the methodology is illustrated by: 1) applying the design to an effective FCN model; 2) developing the corresponding parallel architecture with special feedforward and feedback paths; and 3) building the systolic array (SA) suitable for very large scale integration (VLSI) implementation.
Keywords: Neuro-fuzzy clustering
Systolic array
Very large scale integration (VLSI)
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on neural networks 
ISSN: 1045-9227
DOI: 10.1109/72.870048
Rights: © 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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