[PDF] Top 20 Robust stability analysis of impulsive complex valued neural networks with time delays and parameter uncertainties

... of neural networks, complex signals are usually preferable [–], so it is necessary to analyze complex-valued neural networks (CVNNs), which deal with the ... See full document

... of complex-valued neural networks (CVNNs) is that they can directly deal with the two-dimensional data, which can also be processed by RVNNs but needs double ...the complex signals are ... See full document

... of time-delayed BAM neural networks for ensuring the stability performance when the leakage delay ...the stability behavior in the sense of asymptotic for BAM neural ... See full document

... or complex-valued neurons to store. However, one quaternion- valued neuron is enough to represent one color via three channels ı, j and κ of QVNNs, which leads to a significant reduction in the ... See full document

... exponential stability for a RNNs with impulse, discrete and continuously distributed time-varying delays and stochastic ...exponential stability of the ...of neural networks, ... See full document

... the stability analysis of complex neural ...the stability of impulsive cellular neural networks with time-varying ...exponential stability of the ... See full document

... a neural networks model has been studied ...the stability criterion was established by establishing the relation among the connection pa- rameters, delay parameters and dynamic variables of systems, ... See full document

... of robust stability for neural networks with mode-dependent time-varying delays and nonlinear perturbations is studied in this ...additive time-varying components are ... See full document

... the stability analysis on FCNNs with various delays and fuzzy BAM neural networks with transmis- sion delays has been the highlight in the neural network field, for ... See full document

... global robust exponential stability analysis of a class of delayed neural networks with time- varying delays and parameter ...exponential stability criteria, ... See full document

... of robust stability of dynamical neural networks, we will first define the class of the activation functions that we will employ in the neural network model ...parametric ... See full document

... the neural cells in practice, the existing neural network models cannot characterize the properties of a neural reaction process precisely ...complicated neural networks, a new type of ... See full document

... the stability and Hopf bifurcation of the fractional-order CVHNNs with time delays in two types of structures named ring and hub ...with time delays. Later the sufficient conditions for ... See full document

... global robust stability of the equilibrium point are obtained relying on The homeomorphic mapping method, the Lyapunov stability theorem and inequality tech- ... See full document

... dissipativity analysis of USGNNs presents a theoretical challenge, which has gained growing attention ...both time-varying delays and unbounded ...of robust dissipativity of USGNNs with ... See full document

... delay-interval-dependent robust stability problem for linear parameter dependent (LPD) discrete-time system with discrete and distributed time-varying delays and nonlinear ... See full document

... BAM neural networks (4) are globally asymptotically stable, if there exist symmetric positive definite matrices Y > 0, Y 5 > 0, Z u > 0 3 = 1,2, … ,8, w x > 0 b = 1,2, … ,6, R r > 0, _ r > ... See full document

... As one of the mostly investigated dynamical behaviors, the state estimation for GRNs has newly stirred increasing research interest (see [1, 2] and the references cited therein [1, 3–10]). In fact, this is an immense ... See full document

... Quaternion multiplication does not conform to the law of commutation, so the study on quaternion is much more difficult than that on plurality. Fortunately, over the past 20 years, especially in algebra area, quaternion ... See full document

... of complex- valued artificial neural networks (CVANN) for the complex- valued pattern recognition and ...combined complex-valued artificial neural network ... See full document