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This study aims to retrieve useful knowledge from commonly adopted technical indicators, based on a soft computing model, to support investment decisions. Though the validity of technical analysis (TA) has been examined extensively by various statistical models in financial literature, a practical approach that may consider the inconsistency among various technical indicators and the down-side risk...
A novel fault detection and isolation scheme for a class of nonlinear systems is presented in this paper using fuzzy adaptive observer. First, the study assumes the physical process can be described by Takagi-Sugeno (T-S) fuzzy model. In the light of the T-S fuzzy model of the plant, the fuzzy observer comprises a number of locally linear observers and the final state estimate is a fuzzy fusion of...
Restriction of normal speech from Chinese whispered speech based on radial basis function neural network (RBF NN) is proposed in this paper. Firstly, capture the nonlinear mapping of spectral envelope between whispered and normal speech by RBF NN; secondly, modify the spectral envelope of the whispered speech by adopting the trained neural network; finally, convert the whispered speech into normal...
Due to the higher dimensional and nonlinear properties of the gene sequences, traditional self-organizing feature maps can't identify splice sites effectively. To circumvent the parameters study of the self-organizing feature maps, a method is presented based on the Kalman filter and the unscented transform which can identify splice sites effectively. By identifying the splice sites form long-scale...
To realize the adaptive control in the heat tunnel system of fire detector, an adaptive PID control algorithm based on BP network and immune genetic algorithm (IGA) is presented. Firstly, the immune genetic algorithm is used to optimize the weights of BP network, which reduces the influence of control effect due to initial network weights; secondly, the PID parameters are adjusted on line based on...
Image fusion is becoming one of the hottest techniques in image processing. The paper proposes a shared chain mutual information concept to quantitatively and objectively evaluate the performances of difference image fusion techniques. Furthermore, the performances of two widely used image fusion techniques, i.e. wavelet transform based fusion and pyramid transform based fusion operating on a typical...
Using Chebyshev inequality and nonnegative semi-martingale convergence theorem, the paper investigates asymptotic behavior of stochastic Cohen-Grossberg neural networks with delay by constructing suitable Lyapunov functional. Algebraic criteria are given for stochastic ultimate bounded and almost exponential stability. The result in the paper extend the main conclusion. In the end, examples are given...
Based on the digital phase ramp feedback technique and advanced digital signal processing techniques, the digital detection system for closed-loop FOG is developed with digital signal processor (DSP) and field programmable gate array (FPGA). The dynamic model and the simplified linear discrete model of the detection system are established. Digital control algorithm in the closed-loop control is analyzed,...
The detection of small current grounding fault line based on Wavelet transform technique and the neural network technique was presented. According of the distribution of energy of each line in the system of grounding, the extraction of feature vectors using wavelet multi-resolution analysis and the decision of fault line using neural networks are described. This strategy overcome the defects of conventional...
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