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Water quality evaluation method and device

An evaluation method and water quality technology, which is applied in the field of water quality evaluation methods and devices, can solve problems affecting the accuracy of water quality evaluation, and achieve the effects of difficult robustness, fast convergence speed, and simple network structure

Inactive Publication Date: 2017-11-28
CHINA AGRI UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0004] In the existing technology, the values ​​of various water quality indicators are directly used as input, ignoring the different degrees of correlation between various water quality indicators, which affects the accuracy of water quality evaluation

Method used

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  • Water quality evaluation method and device

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Embodiment Construction

[0044] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0045] In one embodiment of the present invention, a water quality evaluation method is provided, figure 1 The flow chart of the water quality evaluation method provided by the embodiment of the present invention, such as figure 1 As shown, the method includes: S1, using the principal component analysis method to combine the obtained various water quality index values ​​into a comprehensive index value; S2, according to the comprehensive index value, using the RBF neural network optimized by the ant colony algorithm to obtain the water quality evaluation result .

[0046] Specifically, in S1, the water quality index includes physical and chemical properties of water qual...

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Abstract

The invention provides a water quality evaluation method and device. The method comprises the steps that S1, a principal component analysis method is used to combine various acquired water quality index values into a comprehensive index value; and S2, an RBF (Radial Basis Function) neural network optimized through an ant colony algorithm is used to acquire a water quality evaluation result according to the comprehensive index value. According to the method, the principal component analysis method is used to combine the various acquired water quality index values into the comprehensive index value, and dimensionality reduction is performed on the various water quality index values according to the interrelation among various water quality indexes, so that a data structure is simplified, and operation speed is increased; and meanwhile, the RBF neural network optimized through the ant colony algorithm is used to acquire the water quality evaluation result according to the comprehensive index value, so that convergence speed is high, a network structure is simple, robustness is high, and it is not liable to get stuck into a local minimal point.

Description

technical field [0001] The invention relates to the field of hydrological prediction, and more specifically, to a water quality evaluation method and device. Background technique [0002] Water quality evaluation refers to the selection of corresponding water quality parameters, water quality standards and evaluation methods according to the evaluation objectives, and the evaluation of the quality and utilization value of water bodies and water treatment requirements. Water quality assessment is a basic work for rational development, utilization and protection of water resources. According to different evaluation types, the corresponding water quality standards are adopted. There are many water quality evaluation methods, such as single factor evaluation method, comprehensive evaluation method, discriminant analysis method and gray clustering method. [0003] Recently developed neural networks are widely used in signal processing, feature extraction, pattern recognition an...

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Application Information

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IPC IPC(8): G06K9/62G06N3/08G06F19/00
CPCG06N3/084G06N3/086G16Z99/00G06F2219/10G06F18/23G06F18/2135
Inventor 高红菊徐文平杭潇
Owner CHINA AGRI UNIV