US 12,566,165 B2 · Method and system for predicting effluent ammonia nitrogen (NH4—N) and electronic device

Abstract

The present disclosure provides a method and system for predicting effluent ammonia nitrogen (NH4—N) and an electronic device. The method includes: obtaining data to be tested; and inputting the data to be tested into a trained deep echo state network, to obtain predicted NH4—N concentration. A method for establishing the deep echo state network includes: establishing an original network, where the original network includes a plurality of input variables and reservoirs, and a principal component analysis (PCA) mapping layer is added between adjacent ones of the reservoirs; initializing the original network to obtain an initialized network; performing parameter optimization on the initialized network by a matrix generation method of singular value decomposition and a competitive swarm optimizer (CSO) algorithm, to obtain an optimized network; and training and testing the optimized network, to obtain the trained deep echo state network.

Claims20

Dependent claims

A method for predicting effluent ammonia nitrogen (NH4—N), comprising:

obtaining data to be tested;
and
inputting the data to be tested into a trained deep echo state network, to obtain predicted NH4—N concentration,
wherein a method for establishing the deep echo state network comprises:
establishing an original network, wherein the original network comprises a plurality of input variables and reservoirs, and a principal component analysis (PCA) mapping layer is added between adjacent ones of the reservoirs;
initializing the original network to obtain an initialized network;
performing parameter optimization on the initialized network by a matrix generation method of singular value decomposition and a competitive swarm optimizer (CSO) algorithm, to obtain an optimized network;
and
training and testing the optimized network, to obtain the trained deep echo state network.

6 more elements

A system for predicting effluent NH4—N, comprising:

a data obtaining module, configured to obtain data to be tested;
and
a concentration prediction module, configured to input the data to be tested into a trained deep echo state network, to obtain predicted NH4—N concentration,
wherein the deep echo state network comprises:
an original network establishing module, configured to establish an original network, wherein the original network comprises a plurality of input variables and reservoirs, and a principal component analysis (PCA) mapping layer is added between adjacent ones of the reservoirs;
an original network initialization module, configured to initialize the original network to obtain an initialized network;
a network optimization module, configured to perform parameter optimization on the initialized network by a matrix generation method of singular value decomposition and a competitive swarm optimizer (CSO) algorithm, to obtain an optimized network;
and
a network test module, configured to train and test the optimized network, to obtain the trained deep echo state network.

6 more elements

Dependencies are inferred from the claim text.

Method and system for predicting effluent ammonia nitrogen (NH4—N) and electronic device

Life of this patent

Method and system for predicting effluent ammonia nitrogen (NH4—N) and electronic device

Life of this patent

Abstract

Claims20