In this paper, a composition intelligence computing method is suggested for an oil-water layer recognition system. The redundant condition attributes are reduced based on rough set attribute simplification algorithm so that an oil-water layer neural network recognition system can be simplified in order...

The Facial Expression recognition is an important and complicated problem of pattern recognition field. In this paper, an approach to Facial Expression recognition based on multi-level transfer function Quantum Neural Networks (QNN) and multi-layer classifiers is presented. The QNN is trained and tested...

Stock patterns are those that occur frequently in stock time series, containing valuable forecasting information. In this paper, an approach to extract patterns and features from stock price time series is introduced. Thereafter, we employ two ANN-based methods to conduct clustering analyses upon the...

Multiwavelets own better properties than those of traditional wavelets. In the paper multiwavelet packet coefficient entropy (MPCE) is defined through combining decomposition coefficient of multiwavelet packet with entropy. A novel transient signals recognition method based on MPCE and artificial neural...

This paper proposed a method to identify the anamorphic signature. The signature is set on a transformable gridding. Moving the gridding in opposite direction with anamorphic direction, the anamorphic signature is restored. Meanwhile, the restored signature is segmented into equal-area sections by the...

In this paper, we propose a novel scheme for speech emotion recognition, which uses decision-templates ensemble algorithm (DT) to combine base classifiers built on segment-level feature sets. Different feature sets from segments can provide sufficient diversity among base classifiers, which is known...

In RGB space, the paper optimizes the algorithm of median filter. Not only it could keep its original filter capability, but also it makes the quantity of algorithm decrease greatly. The paper puts forward a standard to identify fire based on the fire edge wobbling-sharp features standard. There are...

A method to recognize the channel siltation using support vector machine (SVM) was developed. The method was based on the system that the transducer arrays were laid out respectively on each side of the channel. Through the analysis of sonar signal acquired by data acquisition unit, the features to recognize...

Chinese character structure(CCS) is too complex to be represented or recognized by computer. In literature [6], simple grid was proposed to be representation tools for CCS. In order to check effectiveness of CCS representation based on simple grid, the method of CCS recognition based on Bayesian learning...

Fusion of infrared and visible image is a potential solution to improve face recognition performance. In this paper, we propose a new fusion method based on singular value decomposition (SVD) and apply it to multiple spectrum face recognition. The performance of the proposed SVD-based fusion method is...