Systolic array algorithm for the Hofpield neural network guaranteeing convergence

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It has been frequently reported that the Hopfield neural network operating in discrete-time and parallel update mode will not converge to a stable state, which inhibits the parallel execution of the model. In the Letter, a systolic array algorithm for the parallel simulation of the Hopfield neural network is proposed which guarantees the convergence of the network and achieves linear speedup as the number of processors is increased
Publisher
Institution of Engineering and Technology
Issue Date
1993
Keywords

Systolic network; Neural network; Hopfield model; Stability; Algorithm performance; SIMD computer

Citation

Electronics Letters, vol.29, no.7, pp.609-611

ISSN
0013-5194
URI
http://hdl.handle.net/10203/5820
Link
http://ieeexplore.ieee.org/iel1/2220/5536/00211848.pdf
Appears in Collection
CS-Journal Papers(저널논문)

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