DQN (deep Q network)-based selection method for ultrasonic bird-repelling optimal frequency
An ultrasonic and frequency technology, applied in the field of selecting the optimal frequency for ultrasonic bird repelling, can solve the problems of ineffective bird repelling frequency, single bird repelling frequency, and inability to repel the affected birds in a targeted manner, so as to avoid falling into the local optimum frequency. figure of merit, speeding up the training process, avoiding the effect of searching some invalid spaces
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[0038] Such as figure 1 For the embodiment of the selection method of a kind of DQN-based ultrasonic repelling bird optimum frequency of the present invention, comprise the steps:
[0039] S1: Initialize the weight θ of the Q neural network of the bird protection device, the threshold of the number of iterations, prior knowledge, experience pool and number of iterations;
[0040] S2: Update the weight θ of the Q neural network;
[0041]S3: Use Doppler radar to detect and read the state of the bird within the detection range s t ;
[0042] S4: State s for the bird t Make a judgment, if the bird stays within the detection range, continue to step S5, if the bird does not stay within the detection range, repeat steps S3-S4;
[0043] S5: Judging whether there is prior knowledge of bird repelling in this area, including the more effective frequency of ultrasonic bird repelling in this area; if yes, combine the prior knowledge to select the frequency with the largest Q value; oth...
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