Self-learning facial emotional feature selection based on rough set theory.
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Displaying 1 – 19 of 19
Solution of multi-delay systems via combined block-pulse functions and Legendre polynomials.
Razzaghi, Mohsen (2009)
Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică
Spatial discretization of an impulsive Cohen-Grossberg neural network with time-varying and distributed delays and reaction-diffusion terms.
Akca, Haydar, Covachev, Valery (2009)
Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică
Stability analysis of discrete Hopfield neural networks with the nonnegative definite monotone increasing weight function matrix.
Li, Jun, Diao, Yongfeng, Li, Mingdong, Yin, Xing (2009)
Discrete Dynamics in Nature and Society
Stability analysis of high-order Hopfield-type neural networks based on a new impulsive differential inequality
Yang Liu, Rongjiang Yang, Jianquan Lu, Bo Wu, Xiushan Cai (2013)
International Journal of Applied Mathematics and Computer Science
This paper is devoted to studying the globally exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays. In the process of impulsive effect, nonlinear and delayed factors are simultaneously considered. A new impulsive differential inequality is derived based on the Lyapunov-Razumikhin method and some novel stability criteria are then given. These conditions, ensuring the global exponential stability, are simpler and less conservative than some of the previous...
Stability analysis of recurrent neural networks with random delay and Markovian switching.
Zhu, Enwen, Wang, Yong, Wang, Yueheng, Zhang, Hanjun, Zou, Jiezhong (2010)
Journal of Inequalities and Applications [electronic only]
Stability analysis of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays.
Huang, Chuangxia, Yang, Xinsong, He, Yigang (2009)
Discrete Dynamics in Nature and Society
Stability and bifurcation in a simplified four-neuron bam neural network with multiple delays.
Yan, Xiang-Ping, Li, Wan-Tong (2006)
Discrete Dynamics in Nature and Society
Stability and bifurcation of a class of discrete-time Cohen-Grossberg neural networks with delays.
Liu, Qiming, Xu, Rui, Wang, Zhiping (2011)
Discrete Dynamics in Nature and Society
Stability of cellular neural networks with unbounded time-varying delays.
Wang, Lijuan, Shao, Jianying (2008)
Electronic Journal of Differential Equations (EJDE) [electronic only]
Stability of impulsive hopfield neural networks with Markovian switching and time-varying delays
Ramachandran Raja, Rathinasamy Sakthivel, Selvaraj Marshal Anthoni, Hyunsoo Kim (2011)
International Journal of Applied Mathematics and Computer Science
The paper is concerned with stability analysis for a class of impulsive Hopfield neural networks with Markovian jumping parameters and time-varying delays. The jumping parameters considered here are generated from a continuous-time discrete-state homogenous Markov process. By employing a Lyapunov functional approach, new delay-dependent stochastic stability criteria are obtained in terms of linear matrix inequalities (LMIs). The proposed criteria can be easily checked by using some standard numerical...
Stochastic passivity of uncertain neural networks with time-varying delays.
Zhou, Jianting, Song, Qiankun, Yang, Jianxi (2009)
Abstract and Applied Analysis
Stochastic stability of Cohen-Grossberg neural networks with unbounded distributed delays.
Chen, Ping, Huang, Chuangxia, Liang, Xiaolin (2010)
Electronic Journal of Differential Equations (EJDE) [electronic only]
Stochastic stability of neural networks with both Markovian jump parameters and continuously distributed delays.
Zhu, Quanxin, Cao, Jinde (2009)
Discrete Dynamics in Nature and Society
Study of stationary solutions in gene network models by the homotopy method.
Fadeev, S.I., Gajnova, I.A., Berezin, A.Yu., Ratushnyj, A.V., Matushkin, Yu.G., Likhoshvaj, V.A. (2004)
Sibirskie Ehlektronnye Matematicheskie Izvestiya [electronic only]
Sum-fuzzy implementation of a choice function using artificial learning procedure with fixed fraction
Alina Constantinescu (2007)
Applications of Mathematics
In one if his paper Luo transformed the problem of sum-fuzzy rationality into artificial learning procedure and gave an algorithm which used the learning rule of perception. This paper extends the Luo method for finding a sum-fuzzy implementation of a choice function and offers an algorithm based on the artificial learning procedure with fixed fraction. We also present a concrete example which uses this algorithm.
Synchronization for an array of coupled Cohen-Grossberg neural networks with time-varying delay.
Zhang, Haitao, Li, Tao, Fei, Shumin (2011)
Mathematical Problems in Engineering
Synchronization of discrete-time stochastic neural networks with random delay.
Bao, Haibo, Cao, Jinde (2011)
Discrete Dynamics in Nature and Society
Synchronization of strongly coupled neural networks.
Cheng, Sui Sun, Wu, Yi Feng (2009)
Applied Mathematics E-Notes [electronic only]
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