Indirect detection method of chlorine content in chlorinated paraffin based on bp neural network
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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[0049] Such as figure 1 As shown, the present invention establishes a three-layer BP artificial neural network prediction model with a certain algorithm by collecting several physical quantities that are easier to directly measure such as density, chroma, viscosity and heating loss of chlorinated paraffin products. The artificial neural network program is written on the computer using matlab language. And the artificial neural network training set was established by sampling and measuring the density, heating loss, chromaticity, viscosity and chlorine content of a series of chlorinated paraffin products in advance. As shown in Table 1.
[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 relations...
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