Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings] 1992
DOI: 10.1109/pccc.1992.200512
|View full text |Cite
|
Sign up to set email alerts
|

Digital neural network implementation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

1994
1994
2007
2007

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 13 publications
(3 citation statements)
references
References 6 publications
0
3
0
Order By: Relevance
“…Parallel counters are multi-input, multi-output combinational logic circuits that determine the number of logic ONE's in their input vectors and generate a binary coded output vector which corresponds to this number [1,2]. A wide variety of parallel counter architectures that exist in literature [4][5][6] have been summarized in [3].…”
Section: Introductionmentioning
confidence: 99%
“…Parallel counters are multi-input, multi-output combinational logic circuits that determine the number of logic ONE's in their input vectors and generate a binary coded output vector which corresponds to this number [1,2]. A wide variety of parallel counter architectures that exist in literature [4][5][6] have been summarized in [3].…”
Section: Introductionmentioning
confidence: 99%
“…Parallel counters are useful in implementing fast multipliers [1], [2], multioperand adders [3], [4], and digital neural networks [5]. Previous counter designs include: quasi-digital [6], threshold gate [1], residue threshold function [3], thermometer code [4], and switching tree logic [7] implementations.…”
Section: Introductionmentioning
confidence: 99%
“…Design trade-offs are examined regarding the use of counter cells [5], [6], [8], of size ranging from (3,2) to (31,5) as building blocks. The design of the counter blocks will be examined first, followed by four example large counter designs.…”
Section: Introductionmentioning
confidence: 99%