Heating household valve adjusting method, system and equipment based on GBDT
A valve adjustment and user-friendly technology, applied in the heating field, can solve the problems of manual setting, incapability of dynamic adjustment, and inability to consider the impact, etc., to achieve the effect of avoiding heat energy waste and improving heating utilization
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[0027] A preferred embodiment of the present invention will be described in detail below with reference to the accompanying drawings.
[0028] GBDT, Gradient Boosting Decision Tree, is also known as gradient boosting iterative decision tree; it completes learning tasks by constructing and combining multiple weak learners, with high prediction accuracy, suitable for low-dimensional data and nonlinear data, and for continuous values and Discrete values have good adaptability. It takes less time to adjust parameters and has high prediction accuracy. Compared with the current similar algorithms based on deep learning, it has the advantages of less hardware resources, fast training speed, and similar prediction results. It is more suitable for deployment on low-cost hardware devices.
[0029] The number of hardware in the heating field is huge, but the hardware configuration is relatively low, so GBDT is suitable as a prediction model in the heating field.
[0030] GBDT obtain...
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