AbstractThis paper concerns a delayed neural network model xΔ(t)=−12x(t)+f(x(t−2)),t∈T=⋃k=0∞[2k,2k+1]. Here T is a special time scale, and f is a signal transmission function. According to the discontinuity of signal function, by iteration, we obtain the existence of periodic solutions of the model and their asymptotical stability
AbstractA set of criteria is presented for the global exponential stability and the existence of per...
The paper considers a general neural network model with impulses at a given sequence of instants, di...
AbstractWe consider a nonlinear discrete-time system x(n+1) = βx(n)+g(y(n-k)), y(n+1) = βy(n)-g(x(n-...
AbstractThis paper concerns a delayed neural network model xΔ(t)=−12x(t)+f(x(t−2)),t∈T=⋃k=0∞[2k,2k+1...
A class of shunting inhibitory cellular neural networks of neutral type with time-varying delays in ...
AbstractThis paper is concerned with a delay differential system {ẋ(t)=−a1(t)x(t)+b1(t)f1(x(t−τ1(t)...
We study the stability of a delayed Hopfield neural network with periodic coefficients and inputs an...
summary:The problems related to periodic solutions of cellular neural networks (CNNs) involving $D$ ...
99學年度楊定揮教師升等參考著作[[abstract]]In this paper we mainly study the existence of periodic solutions for a ...
AbstractBy using the continuation theorem of Mawhins coincidence degree theory and constructing a su...
Among other models aimed at understanding self-sustained oscillations in neural networks, the NNLIF ...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
By using the continuation theorem of coincidence degree theory and Lyapunov functions, we study the ...
In this paper, a tri–neuron network model with time delay is investigated. By using the Bendixson-s ...
In this paper we investigate a class of artificial neural networks with delays subject to periodic i...
AbstractA set of criteria is presented for the global exponential stability and the existence of per...
The paper considers a general neural network model with impulses at a given sequence of instants, di...
AbstractWe consider a nonlinear discrete-time system x(n+1) = βx(n)+g(y(n-k)), y(n+1) = βy(n)-g(x(n-...
AbstractThis paper concerns a delayed neural network model xΔ(t)=−12x(t)+f(x(t−2)),t∈T=⋃k=0∞[2k,2k+1...
A class of shunting inhibitory cellular neural networks of neutral type with time-varying delays in ...
AbstractThis paper is concerned with a delay differential system {ẋ(t)=−a1(t)x(t)+b1(t)f1(x(t−τ1(t)...
We study the stability of a delayed Hopfield neural network with periodic coefficients and inputs an...
summary:The problems related to periodic solutions of cellular neural networks (CNNs) involving $D$ ...
99學年度楊定揮教師升等參考著作[[abstract]]In this paper we mainly study the existence of periodic solutions for a ...
AbstractBy using the continuation theorem of Mawhins coincidence degree theory and constructing a su...
Among other models aimed at understanding self-sustained oscillations in neural networks, the NNLIF ...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
By using the continuation theorem of coincidence degree theory and Lyapunov functions, we study the ...
In this paper, a tri–neuron network model with time delay is investigated. By using the Bendixson-s ...
In this paper we investigate a class of artificial neural networks with delays subject to periodic i...
AbstractA set of criteria is presented for the global exponential stability and the existence of per...
The paper considers a general neural network model with impulses at a given sequence of instants, di...
AbstractWe consider a nonlinear discrete-time system x(n+1) = βx(n)+g(y(n-k)), y(n+1) = βy(n)-g(x(n-...