DocumentCode
1203529
Title
A performance model for multilayer neural networks in linear arrays
Author
Naylor, David ; Jones, Simon
Author_Institution
Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
Volume
5
Issue
12
fYear
1994
fDate
12/1/1994 12:00:00 AM
Firstpage
1322
Lastpage
1328
Abstract
An analytical model is presented for assessing the performance of multilayer neural networks implemented in linear arrays. Metrics to assess latency, throughput rate, and computational and input-output bandwidth are developed. These metrics demonstrate a rich and complex interaction between the performance of the hardware and the number and relative dimensions of the layers in a network. Practical illustration of the use of these metrics is demonstrated for a two-hidden-layer network
Keywords
feedforward neural nets; multilayer perceptrons; performance evaluation; systolic arrays; input-output bandwidth; latency; linear arrays; multilayer neural networks; performance; performance model; throughput rate; two-hidden-layer network; Analytical models; Artificial neural networks; Bandwidth; Clocks; Delay; Intelligent networks; Multi-layer neural network; Neural network hardware; Neural networks; Throughput;
fLanguage
English
Journal_Title
Parallel and Distributed Systems, IEEE Transactions on
Publisher
ieee
ISSN
1045-9219
Type
jour
DOI
10.1109/71.334906
Filename
334906
Link To Document