Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
413076 | Neurocomputing | 2006 | 25 Pages |
Abstract
In this paper, bidirectional associative memory (BAM) neural network with delays is considered. By employing the inequality bm+1∏k=1mbkqk⩽1/r∑k=1mqkbkr+(1/r)bm+1r(bm+1⩾0,bk⩾0,qk>0(bm+1⩾0,bk⩾0,qk>0 with 1+∑k=1mqk=r,k=1,…,m), applying homotopic mapping and constructing a new Lyapunov functional method, we present some new criteria ensuring globally exponential stability and the existence of periodic oscillatory solution. These results are helpful to design globally exponential stability and periodic oscillatory for BAM neural network with delays.
Related Topics
Physical Sciences and Engineering
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Artificial Intelligence
Authors
Hongyong Zhao,