Water Quality Evaluation and Prediction Method Based on Fuzzy Wavelet Neural Network
A wavelet neural network and prediction method technology, applied in biological neural network models, neural architectures, computational models, etc., can solve problems such as slow convergence speed, inaccurate prediction results, and poor approximation effect, and achieve fast convergence speed and approximation ability. Strong, stable effect
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[0049] The specific implementation manners of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0050] In one embodiment: as figure 1As shown, this paper adopts the fuzzy neural network based on the T-S model. There are two types of fuzzy logic, type I and type II. Traditional type I fuzzy systems cannot deal with the uncertainty of fuzzy rules, so in the face of complex systems, it is impossible to establish effective and reasonable Fuzzy rules. Type II fuzzy systems mainly include Mamdani type and T-S type. The T-S type fuzzy model uses IF-THEN fuzzy rules. The premise part of each rule includes premise variables and fuzzy sets. Its function is to define a fuzzy subspace, and the conclusion part is usually a linear function. Studies have shown that T-S network is better than Mamdani network in terms of learning accuracy. In the traditional wavelet neural network, the nonlinear Sigmoid function in the BP neural...
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