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Underwater glider is a long-range autonomous underwater vehicle for oceanographic research that propels them through the ocean by changing their buoyancy. Balance parameters usually obtained through experiments. These kind of inaccurate parameters have a great influence on gliders gliding. In this article, a balance parameters calculation method of underwater glider based on BP neural network is presented...
The city of Wujiang, which locates at the center of the Yangtze River delta, is a relatively ideal case for study because it is a typical area that experiences the rapid urbanization. According to the statistical and survey data at county level during the past 20 years, this article establishes a predicting model by comprehensively using both PCA and BP neural networks. Principal component analysis...
This paper is mainly to discriminate the obstacle models that the robot may meet by using BP neural network. The essential work autonomous mobile robot should complete includes path planning, localization and obstacle avoidance, and this paper has laid the foundation for these tasks. The result of computer simulation indicates that the design has achieved the expected task to judge the obstacle models.
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