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.
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[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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