A new scheme to predict chaotic time series of air pollutant concentrations using artificial neural network and nearest neighbor searching
暂无分享,去创建一个
Vinod Kumar Jain | Sukumar Devotta | Asha B. Chelani | Ajit Kumar Gautam | A. K. Gautam | S. Devotta | A. Chelani | V. Jain
[1] P. Grassberger,et al. Measuring the Strangeness of Strange Attractors , 1983 .
[2] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[3] Graciela B. Raga,et al. The nature of air pollution dynamics in Mexico City , 1996 .
[4] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[5] F. Takens. Detecting strange attractors in turbulence , 1981 .
[6] Ali Elkamel,et al. Measurement and prediction of ozone levels around a heavily industrialized area: a neural network approach , 2001 .
[7] S. Islam,et al. Nonlinear dynamics of hourly ozone concentrations. nonparametric short term prediction , 1998 .
[8] J. Carretero,et al. Stochastic model to forecast ground-level ozone concentration at urban and rural areas. , 2005, Chemosphere.
[9] Jose C. Principe,et al. Prediction of Chaotic Time Series with Neural Networks , 1992 .
[10] M. W Gardner,et al. Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences , 1998 .
[11] Jacek M. Zurada,et al. Introduction to artificial neural systems , 1992 .
[12] Farmer,et al. Predicting chaotic time series. , 1987, Physical review letters.
[13] Krishan Kumar,et al. Forecasting Daily Maximum Surface Ozone Concentrations in Brunei Darussalam—An ARIMA Modeling Approach , 2004, Journal of the Air & Waste Management Association.
[14] Gabriel Ibarra-Berastegi,et al. Regression and multilayer perceptron-based models to forecast hourly O3 and NO2 levels in the Bilbao area , 2006, Environ. Model. Softw..
[15] M. Gardner,et al. Neural network modelling and prediction of hourly NOx and NO2 concentrations in urban air in London , 1999 .
[16] G. Raga,et al. On the nature of air pollution dynamics in Mexico City—I. Nonlinear analysis , 1996 .
[17] Saleh M. Al-Alawi,et al. Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks , 2002, Environ. Model. Softw..
[18] A. Comrie. Comparing Neural Networks and Regression Models for Ozone Forecasting , 1997 .
[19] Pratim Biswas,et al. Estimation of the dominant degrees of freedom for air pollutant concentration data: Applications to ozone measurements , 1994 .
[20] Fraser,et al. Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.
[21] Ashutosh Kumar Singh,et al. Ozone distribution in the urban environment of Delhi during winter months , 1997 .
[22] Martin Casdagli,et al. Nonlinear prediction of chaotic time series , 1989 .
[23] Saleh M. Al-Alawi,et al. Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations , 2005, Environ. Model. Softw..
[24] Andreas S. Weigend,et al. Time Series Prediction: Forecasting the Future and Understanding the Past , 1994 .