Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation
The computer simulation of the membrane bioreactor MBR has become the research focus of the MBR simulation. In order to compensate for the defects, for example, long test period, high cost, invisible equipment seal, and so forth, on the basis of conducting in-depth study of the mathematical model of...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2012/703153 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832561839883419648 |
|---|---|
| author | Chunqing Li Zixiang Yang Yiquan Deng Tao Wang |
| author_facet | Chunqing Li Zixiang Yang Yiquan Deng Tao Wang |
| author_sort | Chunqing Li |
| collection | DOAJ |
| description | The computer simulation of the membrane bioreactor MBR has become the research focus of the MBR simulation. In order to compensate for the defects, for example, long test period, high cost, invisible equipment seal, and so forth, on the basis of conducting in-depth study of the mathematical model of the MBR, combining with neural network theory, this paper proposed a three-dimensional simulation system for MBR wastewater treatment, with fast speed, high efficiency, and good visualization. The system is researched and developed with the hybrid programming of VC++ programming language and OpenGL, with a multifactor linear regression model of affecting MBR membrane fluxes based on neural network, applying modeling method of integer instead of float and quad tree recursion. The experiments show that the three-dimensional simulation system, using the above models and methods, has the inspiration and reference for the future research and application of the MBR simulation technology. |
| format | Article |
| id | doaj-art-593b5508c10f498fa346c7abf698575a |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-593b5508c10f498fa346c7abf698575a2025-02-03T01:24:07ZengWileyAbstract and Applied Analysis1085-33751687-04092012-01-01201210.1155/2012/703153703153Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR SimulationChunqing Li0Zixiang Yang1Yiquan Deng2Tao Wang3School of Computer Science and Software Technology, Tianjin Polytechnic University, Tianjin 300387, ChinaSchool of Computer Science and Software Technology, Tianjin Polytechnic University, Tianjin 300387, ChinaSchool of Computer Science and Software Technology, Tianjin Polytechnic University, Tianjin 300387, ChinaSchool of Computer Science and Software Technology, Tianjin Polytechnic University, Tianjin 300387, ChinaThe computer simulation of the membrane bioreactor MBR has become the research focus of the MBR simulation. In order to compensate for the defects, for example, long test period, high cost, invisible equipment seal, and so forth, on the basis of conducting in-depth study of the mathematical model of the MBR, combining with neural network theory, this paper proposed a three-dimensional simulation system for MBR wastewater treatment, with fast speed, high efficiency, and good visualization. The system is researched and developed with the hybrid programming of VC++ programming language and OpenGL, with a multifactor linear regression model of affecting MBR membrane fluxes based on neural network, applying modeling method of integer instead of float and quad tree recursion. The experiments show that the three-dimensional simulation system, using the above models and methods, has the inspiration and reference for the future research and application of the MBR simulation technology.http://dx.doi.org/10.1155/2012/703153 |
| spellingShingle | Chunqing Li Zixiang Yang Yiquan Deng Tao Wang Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation Abstract and Applied Analysis |
| title | Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation |
| title_full | Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation |
| title_fullStr | Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation |
| title_full_unstemmed | Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation |
| title_short | Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation |
| title_sort | multiple linear regression model based on neural network and its application in the mbr simulation |
| url | http://dx.doi.org/10.1155/2012/703153 |
| work_keys_str_mv | AT chunqingli multiplelinearregressionmodelbasedonneuralnetworkanditsapplicationinthembrsimulation AT zixiangyang multiplelinearregressionmodelbasedonneuralnetworkanditsapplicationinthembrsimulation AT yiquandeng multiplelinearregressionmodelbasedonneuralnetworkanditsapplicationinthembrsimulation AT taowang multiplelinearregressionmodelbasedonneuralnetworkanditsapplicationinthembrsimulation |