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Abstract and Applied Analysis
Volume 2012 (2012), Article ID 703153, 18 pages
http://dx.doi.org/10.1155/2012/703153
Research Article

Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation

School of Computer Science and Software Technology, Tianjin Polytechnic University, Tianjin 300387, China

Received 24 August 2012; Accepted 9 October 2012

Academic Editor: Yongfu Su

Copyright © 2012 Chunqing Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.