Abstract
By using the continuation theorem of coincidence degree theory, M-matrix theory and constructing some suitable Lyapunov functions, some sufficient conditions are obtained for the existence and global exponential stability of anti-periodic solutions of higher-order recurrent type neural networks with distributed delays and impulses on time scales without assuming the boundedness of the activation functions f j , g j .
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