Soft measuring method for water chlorophyll a based on adaptability and sound search

A chlorophyll and soft measurement technology, which is used in testing water, biological neural network models, material inspection products, etc., can solve the problem of low measurement accuracy, and achieve the effect of enhancing search ability, improving soft measurement accuracy, and improving accuracy.

Inactive Publication Date: 2017-10-27
JIANGXI UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a kind of water body chlorophyll-a soft measurement method based on adaptability and acoustic search, it can overcome to a great extent when the traditional neural network is applied to the water body chlorophyll-a soft measurement and easily falls into local extremum, measurement accuracy Not high shortcomings, the present invention can improve the soft measurement accuracy of water chlorophyll a, improve the measurement efficiency of water chlorophyll a

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  • Soft measuring method for water chlorophyll a based on adaptability and sound search
  • Soft measuring method for water chlorophyll a based on adaptability and sound search
  • Soft measuring method for water chlorophyll a based on adaptability and sound search

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Embodiment

[0052] Step 1. Collect water samples for YD=68 consecutive days in the water area that needs soft measurement, and test the water samples to measure the indicators related to water quality: ammonia nitrogen, total nitrogen, total phosphorus, orthophosphate, permanganate index , nitrate nitrogen, water temperature, dissolved oxygen, pH value, five-day biochemical oxygen demand, chlorophyll a, and then use the collected data as a sample data set, and normalize the collected sample data set;

[0053] Step 2, the user initializes parameters, and the initialization parameters include the number of neurons in the hidden layer of the three-layer perceptron neural network BN=5, the number of days of soft measurement span TD=2, the size of the harmony bank HMS=100, and the maximum number of evaluations MAX_FEs = 300000;

[0054] Step 3, let the current evolution algebra t=0, the current evaluation times FEs=0;

[0055] Step 4, let the selection probability HMCR t =0.9, the disturbanc...

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Abstract

The invention discloses a soft measuring method for water chlorophyll a based on adaptability and sound search. The adaptability and sound search algorithms are adopted for optimally designing parameters of a three-layer sensor neural network and the optimally designed three-layer sensor neural network is used as a soft measuring model of water chlorophyll a. In the adaptability and sound search algorithms, a Gauss sampling operator is combined with an elite reverse operation and the control parameters are adaptably regulated according to the present evolution state, so that the search ability of the algorithm is enhanced and the precision of the soft measuring model is increased. According to the invention, the soft measuring precision of the water chlorophyll a can be increased and the measuring efficiency of the water chlorophyll a can be increased.

Description

technical field [0001] The invention relates to the field of water body chlorophyll-a measurement, in particular to a water body chlorophyll-a soft measurement method based on adaptability and acoustic search. Background technique [0002] Chlorophyll a is an important indicator of water quality. In order to dynamically monitor the water quality of a certain water area, people often need to grasp the dynamic change law of chlorophyll a in the water area, while the traditional method of manually measuring chlorophyll a in water often requires a lot of manpower and material resources, and the manual measurement method is not real-time. It is difficult to realize long-term uninterrupted monitoring. To this end, the researchers proposed a soft-sensing method for chlorophyll-a in water bodies. This method establishes a mathematical model of chlorophyll-a in water bodies and uses the established mathematical model as a soft-sensing model for chlorophyll-a in water bodies, so as t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/18G06N3/04
CPCG01N33/18G06N3/04
Inventor 郭肇禄巫光福王洋刘小生李大海董姗燕余法红
Owner JIANGXI UNIV OF SCI & TECH
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