BP neural network-based chlorinated paraffin chlorinity indirect detection method
A BP neural network, chlorinated paraffin technology, applied in the direction of biological neural network models, measuring devices, instruments, etc., can solve problems such as troublesome methods
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[0050] Table 1 BP neural network training set
[0051]
[0052] The prepared artificial neural network is trained with density, heating loss, chromaticity, and viscosity as the input data set, and the chlorine content is used as the output data set, and the network parameters are continuously adjusted to establish a good mapping relationship between input and output. From the basic principle of BP algorithm and BP theorem, it can be known that when the number of neurons in the hidden layer is large enough, a BP network with a three-layer structure can approximate any nonlinear function with finite discontinuity points with arbitrary precision. Therefore, using sufficient known data to repeatedly train the neural network until the training error is less than the preset value is equivalent to obtaining the functional expressions of the chlorine content and density, heating loss, chromaticity, and viscosity of chlorinated paraffin. Such as figure 2 As shown, after the arti...
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