Water quality prediction method based on gated circulation unit network integration
A cyclic unit, water quality prediction technology, applied in prediction, neural learning method, biological neural network model, etc., can solve the problem of difficult to establish water quality prediction model, to improve generalization ability and robustness, improve accuracy, improve The effect of efficiency
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[0027] Such as figure 1 Shown as the flow chart, the realization of this patent is to integrate the GRU with m=5 different structures. The internal structure of the GRU is as figure 2 Shown. The specific steps of this algorithm are as follows:
[0028] Step 1: Perform preprocessing after data collection to obtain water quality index time series data, and divide the data set into training set and test set;
[0029] Step 2: Construction of GRU networks with different structures;
[0030] Step 3: Input the training set, and use back propagation and gradient descent to train five GRU networks;
[0031] Step 4: Build the final prediction model and use the mean method to integrate the output results of the five trained GRU networks;
[0032] Step 5: Save the final model and input the test set to test the identification effect. The final model can be used in the actual water quality prediction link.
[0033] The step 1 includes the following steps:
[0034] Step 1.1: Data collection: The data ...
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