Name
Title | ||
|---|---|---|
NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes |
Abstract | ||
|---|---|---|
The timely and accurate measurement of nitrogen oxides (NOx) emissions is important for efficient pollution controlling of municipal solid waste incineration plants. With the aim to design an efficient and effective prediction model for NOx concentrations, a brain-inspired modular neural network (BIMNN) is developed in this article. First, a biologically inspired modularization technique is propos... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3116528 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Predictive models,Neural networks,Data models,Task analysis,Biological neural networks,Waste materials,Indexes | Journal | 18 |
Issue | ISSN | Citations |
7 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xi Meng | 1 | 1 | 1.71 |
| Jian Tang | 2 | 526 | 148.30 |
| Jun-Fei Qiao | 3 | 798 | 74.56 |