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ftp ejde.math.txstate.edu (login: ftp) ALMOST PERIODIC SOLUTIONS FOR HIGHER-ORDER HOPFIELD NEURAL NETWORKS WITHOUT BOUNDED ACTIVATION FUNCTIONS
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In this paper, quaternion-valued high-order Hopfield neural networks (QVHHNNs) with time-varying delays are considered. Theoretically, a QVHHNN can be separated into four real-valued systems, forming an equivalent real-valued system. By using a novel continuation theorem of coincidence degree theory and constructing an appropriate Lyapunov function, some sufficient conditions are derived to guarantee the existence and global exponential stability of anti-periodic solutions for QVHHNN, which are new and complement previously known results.
Neural Processing Letters – Springer Journals
Published: Jun 1, 2018
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