Title :
Stability of Almost Periodic Solution for BAM Neural Networks with Delays
Author :
Zhao, Bao-zhu ; Xu, Jie-hong ; Zhang, Qing
Author_Institution :
Found. Dept., Sichuan TOP Vocational Inst. of Inf. Technol., Chengdu, China
Abstract :
This paper presents a sufficient condition for the global asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with variable coefficients. The results impose constraint conditions on the network parameters of neural system independently of variable coefficients, and they are applicable to all bounded continuous non-monotonic neuron activation functions.
Keywords :
asymptotic stability; delays; neural nets; BAM neural network stability; almost periodic solution; bidirectional associative memory; bounded continuous nonmonotonic neuron activation function; constraint condition; delay; equilibrium point; global asymptotic stability; sufficient condition; variable coefficient; Associative memory; Asymptotic stability; Biological neural networks; Circuit stability; Delay; Stability analysis; BAM; neural networks; stability; variable coefficients;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.70
