11-04-2023 дата публикации
Номер: CN115952728A
Принадлежит:
The invention discloses a soft measurement and prediction method for nitrite nitrogen concentration, which comprises the following steps of: acquiring culture water plant data, selecting auxiliary variables from the data by using a principal component analysis method, obtaining four auxiliary variables, namely temperature, pH, dissolved oxygen and oxidation-reduction potential, which influence the nitrite nitrogen concentration, measuring the nitrite nitrogen concentration in a water body, preprocessing the data, and predicting the nitrite nitrogen concentration. Establishing an ELM (Extreme Learning Model)-based nitrite nitrogen concentration soft measurement prediction model; latin hypercube sampling is adopted to carry out initialization operation on an SSA population, and Logistic mapping and a nonlinear dynamic weight strategy are introduced into position updating of a dogvessel leader; in the position updating of the follower, a gravitational search strategy is introduced to obtain ...
Подробнее