Coal ash fusion temperature forecasting method based on construction-pruning mixed optimizing RBF (Radial Basis Function) network
A RBF network and pruning technology, applied in the field of coal ash melting point prediction, can solve problems such as low accuracy, unreasonable model structure, and weak generalization ability
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[0046] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the embodiments.
[0047] figure 1 Shown is the structure-pruning hybrid optimization algorithm flow chart of the present invention, and the implementation steps of CPHM are as follows:
[0048] 1). Select the first data center of the RBF network according to formula (2), and calculate the output weight.
[0049] (2)
[0050] in, for is the response function vector of the new hidden node in the data center, Output vector for the teacher of the neural network.
[0051] 2). In the coarse adjustment stage, the minimum of formula (1) is the standard, and the data center of the RBF network is selected until the stopping criterion (3) is satisfied.
[0052] (1)
[0053] in, output vector for the teacher of the neural net...
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