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This paper raises base-on wavelet neural network algorithm for ECG data compress, as to ECG data compression problem. The method achieved a high compression ratio of ECG data. The algorithm has generalization capability, fast convergence, having multiresolution and adaptive features, special ability to really extract. The results show: wavelet neural network compression algorithm adapts to ECG signal...
In this paper, we consider a class of time-delay artificial neural networks and obtain practical criteria to test asymptotic stability of the equilibrium of the time-delay artificial neural networks. These criteria require verification of the definiteness of a certain matrix, or verification of a certain inequality. The applicability of our results is demonstrated by means of a specific example.
In this paper, we consider a class of time-delay dynamical systems with nonlinear perturbation. The nonlinear perturbation functions are assumed bounded. we provide a robust stabilization criterion via designing a memoryless state feedback controller for the time-delay dynamical neural networks with nonlinear perturbation. The sufficient criterion is given in terms of linear matrix inequality (LMI)...
To track the state of charge (SOC) of Ni-MH battery pack at the hybrid electric vehicle, an artificial neural network (ANN) is designed. Current, voltage and the previous SOC are used to inputs of ANN, and output is SOC. The result show that, this artificial neural network can track the state of charge (SOC) of the batteries accurately, in the average tracking error less than 5%; the ANN is in low...
In this paper, we consider a class of time-delay dynamical neural networks with nonlinear perturbation. The nonlinear perturbation functions are assumed bounded. we derive a robust stability criterion independent of delay. The sufficient criterion is given in terms of linear matrix inequality (LMI). The checking for robust stability of time-delay dynamical neural networks with nonlinear perturbation...
According to meteorological element data of test reference year (TRY), a dynamic simulation program calculates the hourly cooling loads of an office building from April to September. Then, a general Visual Basic program is developed based on the error back-propagation (BP) algorithm of artificial neural network (ANN). The network is trained and tested by the obtained data. The results are presented...
pointed out in this paper; its structure, function and implementation are discussed. Soft sensor object is a new way for intelligent sensor design and a new method for sensor validation and sensor failure detection. A new training method for auto-associative neural network (AANN) is also used. Soft sensor object finds its application in water treatment plant.
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