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<item>
  <id>05833252</id>
  <dt>j</dt>
  <an>05833252</an>
  <augroup>
    <au>Wang, Gen-Qiang</au>
    <au>Cheng, Sui Sun</au>
  </augroup>
  <ti>Bifurcation in a nonlinear dynamical system arising from seeking steady states of a neural network.</ti>
  <so>Int. J. Bifurcation Chaos Appl. Sci. Eng. 20, No. 8, 2585-2588 (2010).</so>
  <py>2010</py>
  <pu>World Scientific, Singapore</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>bifurcation</ut>
    <ut>neural network</ut>
    <ut>steady state</ut>
    <ut>periodic solution</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1142/S0218127410027222</li>
  </ligroup>
  <abgroup>
    <ab>Summary: We show that in an artificial dynamic neural network that depends on a real parameter $\mu $, steady states do not exist for $\mu \leq -2$, and positive and negative steady states exist for $\mu > -2$. We hope that such a bifurcation phenomenon in our network model may explain some of the real observations in nature.</ab>
    <rv></rv>
  </abgroup>
</item>