A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Forecasting peak air pollution levels using NARX models
Engineering Applications of Artificial Intelligence
Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Optimal training subset in a support vector regression electric load forecasting model
Applied Soft Computing
Support vector regression based friction modeling and compensation in motion control system
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Short-term prediction of air pollution in macau using support vector machines
Journal of Control Science and Engineering - Special issue on Advanced Control in Micro-/Nanosystems
Ordinal and nominal classification of wind speed from synoptic pressurepatterns
Engineering Applications of Artificial Intelligence
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The paper presents the method of daily air pollution forecasting by using support vector machine (SVM) and wavelet decomposition. Based on the observed data of NO"2, CO, SO"2 and dust, for the past years and actual meteorological parameters, like wind, temperature, humidity and pressure, we propose the forecasting approach, applying the neural network of SVM type, working in the regression mode. To obtain the acceptable accuracy of forecast we decompose the measured time series data into wavelet representation and predict the wavelet coefficients. On the basis of these predicted values the final forecasting is prepared. The paper presents the results of numerical experiments on the basis of the measurements made by the meteorological stations, situated in the northern region of Poland.