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- W2981543256 abstract "In the sewage treatment process, the dissolved oxygen concentration is a very important control target, but it is difficult to be controlled. To solve this problem, a self-organizing fuzzy neural network controller based on genetic ideas (G-SOFNN) is proposed. In the controller structure reduction process, the deleted neuron information is merged with the remaining neurons to reduce the interference set. During the controller structure increasing phase, the information of new neurons is initialized to avoid overlapping of information. Then, the controller parameters are trained by the projection algorithm to improve the control precision. Experiments illustrate that the proposed method can accurately control the concentration of dissolved oxygen in the sewage treatment process." @default.
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- W2981543256 date "2019-01-01" @default.
- W2981543256 modified "2023-10-16" @default.
- W2981543256 title "Sewage Treatment Control Method Based on Genetic-SOFNN" @default.
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- W2981543256 doi "https://doi.org/10.1007/978-3-030-32388-2_53" @default.
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