Automatic Behavior division method and system based on ship trajectory, and electronic equipment
A technology for automatic division of ship trajectories, applied in instruments, geographic information databases, complex mathematical operations, etc., can solve problems such as inability to adapt to the needs of navigation scenarios, manual adjustment of model parameters, and inability to distinguish individual behaviors of ships, so as to achieve automatic behavior Pattern recognition and partitioning, avoiding the effects of parameter setting and tuning
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[0025] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.
[0026] In the field of machine learning, Hidden Markov Model (HMM), as a classic probability model describing the statistical characteristics of random processes, has been widely used in pattern recognition problems. By abstracting the problem into a series of hidden states and converting them into observation sequences, HMM can find the state sequence with the highest probability under the condition of known observation sequences, thereby learning the process of state transition. Conversely, model parameters can also be estimated through observed variables a...
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