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This paper describes the time-frequency features of the Yangtze finless porpoise acoustic signals firstly. Then an automatic identification algorithm for the Yangtze finless porpoise is presented based on Hilbert Huang Transform and BP artificial neural network. The algorithm includes two steps: feature extraction and signal identification. In the first step of the algorithm, the algorithm extracts...
In this paper, submarine's response model in vertical plane is transferred into state space model using ‘white box’ theory of linear system. Least square support vector machine (LS-SVM) is used to identify zigzag test of submarine's response model in vertical plane and the identification results verify the validity of this method. The difference of model identification between fixed rudder angle and...
Due to the dynamic and anonymous nature of open environments, it is critically important for agents to identify trustful cooperators which work consistently as they claim. In the e-services and e-commerce communities, trust and reputation systems are applied broadly as one kind of decision support systems, and aim to cope with the consistency problems caused by uncertain trust relationships. However,...
In order to improve success rate of new product development, an intelligent decision support system based on multi-agent for new product development is presented. The dialogue layer, problem decomposition layer, control layer and problem solving layer in the decision process are studied; corresponding decision support apply modules are built based on the design idea of decision support system with...
A novel semi-blind defocused image deconvolution technique is proposed, which is based on RBF neural network and iterative Wiener filtering. In this technique, firstly a RBF neural network is trained in wavelet domain to estimate defocus parameter. After obtaining the point spread function (PSF) parameter, iterative Wiener filter is adopted to complete the restoration. We experimentally illustrate...
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