LoRa terminal maximum transmission rate dynamic prediction method neural network based

The present invention discloses a kind of LoRa terminal maximum transmission rate dynamic prediction method neural network based, applied to low-power consumption wan communication technical field, by constructing neural network framework, and neural network is trained, so that when guaranteeing normal communication, neural network, the maximum transmission rate predicted are inputted by the signal-to-noise ratio that is resolved to LoRa server, signal strength；The maximum transmission rate is informed that LoRa terminal, LoRa terminal send data with maximum transmission rate by LoRa server, realizes the effect for reducing power consumption of terminal.