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In multi-sources information fusion, because of the diversity of evidences, especially the imperfect evidences, it's difficult to get a satisfied result. To avoid and reduce the influence of the mistaken or conflicting information on the final precision of fusion, a pre-processor of evidence sources is proposed and proved. A MES (measurement of evidence support) pre-processor is designed. Firstly,...
Simultaneous localization and mapping (SLAM) is an important topic in the autonomous mobile robot research. An improved Rao-Blackwellised particle filter (IRBPF) algorithm is proposed for the mobile robot to SLAM, which can simultaneously localize the robot and build up the map in the structured indoor environment. Firstly, IRBPF respectively uses particle filters (PF) to estimate the posterior probability...
Neural networks has been widely used in data mining, but the main challenge of it is to get high efficiency and explicit knowledge. So a BDB neural network is proposed to improve the efficiency in the paper. Meanwhile, an improved genetic algorithm, which can enhance ability of selecting fitness, for rule extraction from artificial neural networks is adopted. Compared with other data mining measures,...
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