The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 25, 2020

Filed:

Dec. 23, 2016
Applicant:

Beijing University of Technology, Beijing, CN;

Inventors:

Honggui Han, Beijing, CN;

Yanan Guo, Beijing, CN;

Junfei Qiao, Beijing, CN;

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
C02F 1/00 (2006.01); C02F 3/00 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); C02F 101/16 (2006.01);
U.S. Cl.
CPC ...
C02F 1/008 (2013.01); C02F 3/006 (2013.01); G06N 3/0445 (2013.01); G06N 3/0481 (2013.01); G06N 3/08 (2013.01); G06N 3/082 (2013.01); G06N 3/088 (2013.01); C02F 2101/16 (2013.01); C02F 2209/003 (2013.01); C02F 2209/08 (2013.01); C02F 2209/14 (2013.01); C02F 2209/15 (2013.01); C02F 2209/16 (2013.01); C02F 2209/18 (2013.01);
Abstract

In this present disclosure, a computing implemented method is designed for predicting the effluent total nitrogen concentration (TN) in an urban wastewater treatment process (WWTP). The technology of this present disclosure is part of advanced manufacturing technology and belongs to both the field of control engineer and environment engineer. To improve the predicting efficiency, a recurrent self-organizing radial basis function (RBF) neural network (RSORBFNN) can adjust the structure and parameters simultaneously. This RSORBFNN is developed to implement this method, and then the proposed RSORBFNN-based method can predict the effluent TN concentration with acceptable accuracy. Moreover, online information of effluent TN concentration may be predicted by this computing implemented method to enhance the quality monitoring level to alleviate the current situation of wastewater and to strengthen the management of WWTP.


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