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This letter focuses on the projective synchronization control of delayed recurrent neural networks with Markovian jumping parameters. The jumping parameters are modeled as continuous-time finite-state Markov chain. Based on the Lyapunov functional method and linear matrix inequality (LMI) approach, a novel control method is given. Simulations with matlab verify the effectiveness of the methods.
A synthetic registration method based on dynamic credibility is proposed to investigate infrared images and their visible light counterparts. Mutual information and alignment metric are adopted together with edge detection and equalization to form a synthetic method composed of six individual metric. Dynamic credibility is put forward to measure the correctness and the essentiality of the six methods...
The instability disaster prediction model of tailings dam had been established, based on system analysis of the factors that caused the instability disaster of tailings dam, by selecting 6 prediction index, medium unit weight, cohesion, internal friction angle, slope angle, slope height and pore pressure ratio and combining with using theory of the rough set and neural network. First the rough set...
Combining genetic algorithms and artificial neural networks, a hybrid genetic-neural method was proposed for modeling the nonlinear dynamic deformation system considering the effect of environmental factors. This method describes the characteristic of nonlinear evolvement of deformation using ANN (the artificial neural network) whose structure (including nodes of input layer and hide layer) is automatically...
In this paper, according to the respective performance of genetic algorithm and neural network, the authors proposed a new method, based on the model of multilayered feed forward neural network (MLFNN), and it is used to simultaneously measure amplitude and phase angle of harmonic, i.e., genetic algorithm and back-propagation neural network (GABPNN). In this algorithm, the new coding scheme of the...
Echo path estimation in echo canceling for teleconference system is a problem in double-talk condition. The correlation-processing algorithms were defined by the authors to solve this problem. In this paper, we proposed a new promotional algorithm with fast convergence speed - proportionate extended correlation LMS algorithm (PECLMS). The idea of the PECLMS algorithm is introducing an improved proportionate...
Echo path estimation in echo canceling for teleconference system is a problem in double-talk condition. The correlation function based algorithms were defined by the authors to solve this problem. In this paper, in order to improve the convergence speed of correlation function based algorithm, we propose a new modified proportionate step-size adaptation method, and then implement it into frequency...
In this paper, an improved grey self-organizing map (GSOM) model is proposed and applied in the detection of deny of service (DOS) attack. For detection of the DOS attacks, this improved model can consider the relativity of the data set of DOS attacks. Finally, the experiments on the DOS data set confirm their validities and feasibilities over this improved GSOM model.
This paper presents a new method to estimate process noise covariances Q and observation noise covariances R of nonlinear time-varying system. Based on the analysis of key factor to estimate noise covariances Q and R for identification and prediction of nonlinear time-varying system using extended Kalman filter based on neural network. Then the paper extends the Mehra approach of noise statistics...
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