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In this paper, a weak signal detection method based on radial basis function (RBF) neural networks is discussed. The principle of weak signal detection with a background noise predictor is that the predictor trained by chaotic time series has a small prediction error, and the prediction error becomes relative large when the input contains a source or target. By exploiting the short-term predictability...
A hybrid intelligent system is applied to assess the environment effect of Chinese foreign trade, combining Rough Set approach (RS) and self organizing map (SOM). We can get reduced information table with no information loss by Rough Set approach. And then, this reduced information is used to develop classification rules and train SOM. The effectiveness of our methodology was verified by experiments...
In this paper, data mining technology is adopted to find correlations from massive production data to predict burning through point (BTP) of sintering process. A hybrid BTP prediction model is presented which is based on artificial neural network and multi-linear regression error compensation algorithm. In this model, the final prediction result is calculated based on both the prediction value from...
Digital audio watermarking is embedded inaudible information into digital audio data for the purposes of copyright protection, ownership verification, covert communication, and/or auxiliary data carrying. In this paper, a new digital audio watermarking algorithm is proposed, which based on Neural Networks and in the Wavelet Domain and corresponding algorithms of watermark generation, embedding, and...
She gave the new sufficient conditions for the exponential stability of BAM neural networks with distribute delays. The analysis of the stability of the equilibrium point had focused on establishing a relationship between the networks parameters of neural networks model independent of the delay parameters.
With the interface from words to graphic, the quality of application program is more and more depend on the degree which the graphic interface feat the taste of the users. So if we can predict the users' taste of the style of application program, our work must be more popular. Now with the help of BP-neural network we can do it because of its strong capacity of prediction.
This letter concerns with robust exponential stability of stochastic neural networks with Markovian switching. By applying Lyapunov functional method, a sufficient stabilization condition is developed in terms of matrix inequalities. The result is also compared with the previously reported results in the literature. Finally, one simulation example is provided to illustrate the effectiveness of the...
An electrical fault-waveform regenerator (EFWG) is proposed in this paper originally, including its hardware structure and software flow chart. And the EFWG is mainly relying on a power amplifier (PA) to regenerate the electrical fault waveforms recorded by fault recorders (FR), so a digital closed-loop modification technique (DCLMT), which is distinct from the predistortion technique (PDT) widely...
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