Abstract:
A novel method to rapidly detect COD (Chemical Oxygen Demand) in polluted water with UV (ultra-violet) spectroanalysis is proposed in this paper. This method utilizes an ...Show MoreMetadata
Abstract:
A novel method to rapidly detect COD (Chemical Oxygen Demand) in polluted water with UV (ultra-violet) spectroanalysis is proposed in this paper. This method utilizes an on-line adaptive algorithm based upon LS-SVM (least square support vector machine), which can build adaptive models to predict the COD values of unknown water samples quickly and accurately. Practical application shows that this adaptive algorithm can build better estimation models than the traditional modeling techniques, such as MLR (multivariate linear regression), PLS (partial least square regression) and BPNN (back-propagation neural network) in terms of various statistical performance indices. Meanwhile, the new COD model shows a good correlation between COD estimated values and COD analysis values.
Date of Conference: 15-19 June 2004
Date Added to IEEE Xplore: 18 October 2004
Print ISBN:0-7803-8273-0
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Support Vector Machine ,
- Chemical Oxygen Demand ,
- Least Square Support ,
- Least Squares Regression ,
- Partial Least Squares ,
- Adaptive Algorithm ,
- Partial Least Squares Regression ,
- Statistical Indicators ,
- Unknown Samples ,
- Back Propagation Neural Network ,
- Online Algorithm ,
- Prediction Model ,
- Training Dataset ,
- Spectra Of Samples ,
- Standard Samples ,
- Dimensional Data ,
- Weight Vector ,
- Multivariable Linear Regression Models ,
- Spectra Data ,
- Standard Training ,
- Standard Support Vector Machine ,
- Large-scale Problems ,
- Amount Of Training Samples ,
- Sequential Minimal Optimization ,
- Cluster Analysis Method ,
- Ultraviolet Spectra ,
- Wastewater Samples ,
- Back Propagation Neural Network Model ,
- Small-scale Problems ,
- Absorption Data
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Support Vector Machine ,
- Chemical Oxygen Demand ,
- Least Square Support ,
- Least Squares Regression ,
- Partial Least Squares ,
- Adaptive Algorithm ,
- Partial Least Squares Regression ,
- Statistical Indicators ,
- Unknown Samples ,
- Back Propagation Neural Network ,
- Online Algorithm ,
- Prediction Model ,
- Training Dataset ,
- Spectra Of Samples ,
- Standard Samples ,
- Dimensional Data ,
- Weight Vector ,
- Multivariable Linear Regression Models ,
- Spectra Data ,
- Standard Training ,
- Standard Support Vector Machine ,
- Large-scale Problems ,
- Amount Of Training Samples ,
- Sequential Minimal Optimization ,
- Cluster Analysis Method ,
- Ultraviolet Spectra ,
- Wastewater Samples ,
- Back Propagation Neural Network Model ,
- Small-scale Problems ,
- Absorption Data