Sparse limited non-negative matrix decomposition algorithm based ultrafiltration membrane water treatment prediction method
A non-negative matrix decomposition, sparse limited technology, applied in electrical digital data processing, special data processing applications, computing and other directions, can solve problems such as difficult to determine network topology, achieve fast prediction speed, high optimization accuracy, adaptability good performance and predictability
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[0033] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0034] Such as figure 1 The basic flow chart of the present invention shown is based on the ultrafiltration membrane water treatment prediction method of the sparse restricted non-negative matrix factorization algorithm, comprising the following steps:
[0035] Step 1: Establish a predictive model for the ultrafiltration membrane wastewater treatment process using the sparse-restricted non-negative matrix factorization algorithm. The specific process is as follows:
[0036] First, define the objective function F of the sparse restricted non-negative matrix factorization algorithm:
[0037] F(W,H)=||V-WH|| 2 =∑ ij [V ij -(WH) ij ] 2 (1)
[0038] In formula (1), V is the input data sample set, W is the feature matrix, H is the projection sparse matrix; Vij Represents the element in row i, column j of V.
[0039] Initialize the feat...
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