Neural network-based wireless sensor network data prediction method
A wireless sensor and neural network technology, applied in the field of wireless sensor network data prediction, can solve the problems that communication technology is difficult to meet the demand, and achieve the effect of improving convergence, performance, and overall accuracy
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[0021] In Embodiment 1 of the present invention, the data source is collected by a sensor network located in a certain area of Zhenjiang City, and the method of the present invention is used for data prediction to predict the possibility of fire in this area. Specific steps are as follows:
[0022] Step 1: Data collection and data preprocessing. Comprehensively considering the geographic location and surrounding environment characteristics of a certain area, this paper selects six influencing factors as the input of the neural network, namely, light (S1), temperature (S2), humidity (S3), wind force (S4), terrain (S5) and flammability type (S6).
[0023] Step 2: Determine the input neuron. The above six features are selected as the input neurons, the illumination describes the light intensity of the area at a certain point in time, the temperature is the current Celsius temperature of the area, the humidity is the current humidity of the area, and the wind force and directi...
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