Exponential stability of discrete-time genetic regulatory networks with delays [0.03%]
具有时滞的离散时间遗传调控网络的指数稳定性
Jinde Cao,Fengli Ren
Jinde Cao
Discrete-time versions of the continuous-time genetic regulatory networks (GRNs) with SUM regulatory functions are formulated and studied in this letter. Sufficient conditions are derived to ensure the global exponential stability of the di...
An expectation-maximization method for spatio-temporal blind source separation using an AR-MOG source model [0.03%]
基于AR-MOG源模型的时空盲信号分离的期望最大化方法
Kenneth E Hild nd,Hagai T Attias,Srikantan S Nagarajan
Kenneth E Hild nd
In this paper, we develop a maximum-likelihood (ML) spatio-temporal blind source separation (BSS) algorithm, where the temporal dependencies are explained by assuming that each source is an autoregressive (AR) process and the distribution o...
Chi-Sing Leung,John Pui-Fai Sum
Chi-Sing Leung
In classical training methods for node open fault, we need to consider many potential faulty networks. When the multinode fault situation is considered, the space of potential faulty networks is very large. Hence, the objective function and...
Michael Syskind Pedersen,DeLiang Wang,Jan Larsen et al.
Michael Syskind Pedersen et al.
Separation of speech mixtures, often referred to as the cocktail party problem, has been studied for decades. In many source separation tasks, the separation method is limited by the assumption of at least as many sensors as sources. Furthe...
Self-organizing radial basis function network for real-time approximation of continuous-time dynamical systems [0.03%]
连续时间动态系统的实时自组织径向基函数网络逼近方法研究
Jianming Lian,Yonggon Lee,Scott D Sudhoff et al.
Jianming Lian et al.
Real-time approximators for continuous-time dynamical systems with many inputs are presented. These approximators employ a novel self-organizing radial basis function (RBF) network, which varies its structure dynamically to keep the prescri...
Dominik Brugger,Martin Bogdan,Wolfgang Rosenstiel
Dominik Brugger
Kohonen's self-organizing map (SOM) is a popular neural network architecture for solving problems in the field of explorative data analysis, clustering, and data visualization. One of the major drawbacks of the SOM algorithm is the difficul...
Enrique Romero,Josep María Sopena
Enrique Romero
An experimental study on two decision issues for wrapper feature selection (FS) with multilayer perceptrons and the sequential backward selection (SBS) procedure is presented. The decision issues studied are the stopping criterion and the n...
A hybrid technique for blind separation of non-gaussian and time-correlated sources using a multicomponent approach [0.03%]
一种基于多分量方法的非高斯和时间相关源的盲分离混合技术
Petr Tichavský,Zbynek Koldovský,Arie Yeredor et al.
Petr Tichavský et al.
Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient fastICA (EFICA) offers an asymptotically optimal solution to this problem when all of t...
Hualiang Li,Tülay Adali
Hualiang Li
In this paper, we introduce a novel way of performing real-valued optimization in the complex domain. This framework enables a direct complex optimization technique when the cost function satisfies the Brandwood's independent analyticity co...
Global exponential stability of bidirectional associative memory neural networks with time delays [0.03%]
具有时滞的双向联想记忆神经网络的全局指数稳定性
Xin-Ge Liu,Ralph R Martin,Min Wu et al.
Xin-Ge Liu et al.
In this paper, we consider delayed bidirectional associative memory (BAM) neural networks (NNs) with Lipschitz continuous activation functions. By applying Young's inequality and Hoelder's inequality techniques together with the properties ...