@article {IOPORT.06111577,
    author       = {Guo, Zhenyuan and Huang, Lihong},
    title        = {Global exponential stability of a general class of recurrent neural networks with variable delays.},
    year         = {2011},
    journal      = {Differential Equations and Dynamical Systems},
    volume       = {19},
    number       = {1-2},
    issn         = {0971-3514},
    pages        = {133-148},
    publisher    = {Springer India, New Delhi, Delhi, India},
    doi          = {10.1007/s12591-011-0082-6},
    abstract     = {Summary: Without assuming boundedness, differentiability, and monotonicity of the activation functions, new conditions ensuring the existence, uniqueness, and global exponential stability of the equilibrium point of a class of recurrent neural networks with variable delays are derived by utilizing the theory of topological degree and constructing appropriate Lyapunov functionals. Some stability results from previous works are extended and improved.},
    identifier   = {06111577},
}