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|Title: ||A fuzzy clustering neural networks (FCNs) system design methodology|
|Authors: ||Zhang, David D.|
Pal, Sankar K.
|Subjects: ||Neuro-fuzzy clustering|
Very large scale integration (VLSI)
|Issue Date: ||Sep-2000 |
|Citation: ||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.|
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|Type: ||Journal/Magazine Article|
|Appears in Collections:||COMP Journal/Magazine Articles|
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