Incubating room humidity control method based on BP (back-propagation) neural network
A BP neural network, humidity control technology, applied in humidity control, biological neural network model, non-electrical variable control, etc., can solve the problem that the accurate mathematical model of the egg hatching process is difficult to establish, and cannot well guarantee the egg hatching process. Stability of temperature and humidity, etc.
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[0069] Such as figure 1 Shown, be the hatch room humidity control process block diagram based on BP neural network of the present invention, according to this process block diagram, implementation steps are as follows:
[0070] Step 1: Use BP neural network to predict the humidity of the hatch. The BP neural network is a three-layer double-input single-output model, and the hidden layer contains 3 neurons, of which
[0071] Input vector: x=(x 1 ,x 2 ), for the hatching room temperature and the hatching room humidity at the current moment collected by the temperature data acquisition module and the humidity data acquisition module,
[0072] Hidden layer input vector: h i =(hi 1 , hi 2 , hi 3 ),
[0073] Hidden layer output vector: h o =(ho 1 ,ho 2 ,ho 3 ),
[0074] Output layer input vector: y i ,
[0075] Output layer output vector: y o , is the predicted value of the hatch humidity in the next second at the current moment,
[0076] Expected output vector: d o...
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