Title :
Mapping fuzzy clustering neural networks onto systolic arrays
Author :
Zhang, D. ; Kamel, M. ; Elmasry, M.I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Abstract :
In this paper, the implementation of fuzzy clustering neural networks (NN), based on systolic arrays (SA), is explored. Mapping policies from NN to SA are established and some typical SA structures are developed. We illustrate our approach using a mapping of the topology extracted front two fuzzy clustering NNs onto its corresponding SA architecture along with a discussion of data flow and processing element definition in the SA
Keywords :
fuzzy neural nets; network topology; neural chips; systolic arrays; data flow; data processing; fuzzy clustering neural networks; mapping policies; node function mapping; systolic array architecture; topology; weight mapping; Computational modeling; Computer architecture; Computer networks; Design engineering; Fuzzy neural networks; Network topology; Neural networks; Systems engineering and theory; Systolic arrays; Very large scale integration;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343683
