Journal Article10.1016/J.NEUCOM.2017.05.089
Almost automorphic solution for neutral type high-order Hopfield BAM neural networks with time-varying leakage delays on time scales
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TL;DR: By applying the exponential dichotomy theory on time scale, Banach contraction mapping principle and differential inequality analysis techniques, some sufficient conditions are established for the existence and global exponential stability of almost automorphic solution for neutral type high-order Hopfield bidirectional associative memory (BAM) neural networks with time-varying leakage delays on time scales.
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About: This article is published in Neurocomputing. The article was published on 06 Dec 2017. The article focuses on the topics: Bidirectional associative memory & Hopfield network.
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Citations
Influence of multiple time delays on bifurcation of fractional-order neural networks
TL;DR: The analysis results have important theoretical significance in designing neural networks and establish a set of new sufficient criteria to guarantee the stability and the appearance of Hopf bifurcation of fractional-order network model with multiple delays.
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Further exploration on bifurcation of fractional-order six-neuron bi-directional associative memory neural networks with multi-delays
TL;DR: In this paper, the authors mainly explored fractional-order six-neuron bi-directional associative memory (BAM) neural networks involving multi-delays and proved that the solution of the addressed BAM neural networks exists and is unique.
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Almost periodic synchronization of quaternion-valued fuzzy cellular neural networks with leakage delays
TL;DR: To avoid non-commutativity, the QVFCNNs are decompose into an analogous real-valued system and the existence of almost periodic solutions based on the Banach fixed point theorem is investigated.
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Further analysis on dynamical properties of fractional‐order bi‐directional associative memory neural networks involving double delays
TL;DR: In this article , a class of novel fractional-order bi-directional associative memory (BAM) neural networks involving double time delays are put up and investigated, and the stability behavior and the onset of Hopf bifurcation of the involved network models are investigated.
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Anti-periodic Solutions for Quaternion-Valued High-Order Hopfield Neural Networks with Time-Varying Delays
TL;DR: 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.
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