Investigation of denoising effects on forecasting models by statistical and nonlinear dynamic analysis

[1]  Hsiao-Tien Pao,et al.  Forecasting electricity market pricing using artificial neural networks , 2007 .

[2]  James W. Taylor.  Exponential smoothing with a damped multiplicative trend , 2003 .

[3]  David G. Bounds,et al.  A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders , 1990, Neural Networks.

[4]  Jih-Jeng Huang,et al.  Model identification of ARIMA family using genetic algorithms , 2005, Appl. Math. Comput..

[5]  Trevor Hastie,et al.  Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.

[6]  Alireza Khotanzad,et al.  An artificial neural network hourly temperature forecaster with applications in load forecasting , 1996 .

[7]  Zacharoula S. Andreopoulou,et al.  Exploring Information Technology and Total Quality Management Implementation by Food and Drink Manufacturing Enterprises , 2019, Int. J. Agric. Environ. Inf. Syst..

[8]  Vijay P. Singh,et al.  Hourly air temperature driven using multi-layer perceptron and radial basis function networks in arid and semi-arid regions , 2012, Theoretical and Applied Climatology.

[9]  Zaher Mundher Yaseen,et al.  Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios , 2018, Theoretical and Applied Climatology.

[10]  T. D. Bui,et al.  Multiwavelets denoising using neighboring coefficients , 2003, IEEE Signal Processing Letters.

[11]  Hadi Fattahi,et al.  Indirect estimation of deformation modulus of an in situ rock mass: an ANFIS model based on grid partitioning, fuzzy c-means clustering and subtractive clustering , 2016, Geosciences Journal.

[12]  Sifeng Liu,et al.  Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model , 2016 .

[13]  P. Bloomfield.  Trends in global temperature , 1992 .

[14]  Rahman Khatibi,et al.  Modelling groundwater level variations by learning from multiple models using fuzzy logic , 2019, Hydrological Sciences Journal.

[15]  Stephen A. Billings,et al.  A Smoothing Algorithm for Nonlinear Time Series , 2004, Int. J. Bifurc. Chaos.

[16]  M. J. D. Powell,et al.  Restart procedures for the conjugate gradient method , 1977, Math. Program..

[17]  J. Rouat,et al.  Wavelet speech enhancement based on the Teager energy operator , 2001, IEEE Signal Processing Letters.

[18]  R. Mostaghel,et al.  Circular business model challenges and lessons learned - An industrial perspective , 2018 .

[19]  Jian Wang,et al.  Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks , 2010 .

[20]  Mohammad A. Al-Fawzan,et al.  Time Series Forecasting Using Wavelet Denoising an Application to Saudi Stock Index , 2002 .

[21]  Anastasios Bezerianos,et al.  Nonlinear analysis of the performance and reliability of wavelet singularity detection based denoising for doppler ultrasound fetal heart rate signals , 1999, Int. J. Medical Informatics.

[22]  Cyril Voyant,et al.  Forecasting of preprocessed daily solar radiation time series using neural networks , 2010 .

[23]  D. Levy,et al.  Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics. , 1997, Circulation.

[24]  Jozef Zurada,et al.  An Adaptive Neuro-Fuzzy Inference System-Based Approach to Real Estate Property Assessment , 2008 .

[25]  D. Broomhead,et al.  Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks , 1988 .

[26]  Kai Schneider,et al.  Nonlinear wavelet thresholding: A recursive method to determine the optimal denoising threshold , 2005 .

[27]  Carlo Bisaglia,et al.  Performance analysis of semi-active suspensions with control of variable damping and stiffness , 2011 .

[28]  Héctor Pomares,et al.  Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering , 2009, Int. Arab J. Inf. Technol..

[29]  Roman M. Balabin,et al.  Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra , 2008 .

[30]  Athar Hussain,et al.  Rainfall-Runoff Modeling of Sutlej River Basin (India) Using Soft Computing Techniques , 2019, Int. J. Agric. Environ. Inf. Syst..

[31]  I. Johnstone,et al.  Ideal spatial adaptation by wavelet shrinkage , 1994 .

[32]  E. Vercher,et al.  Forecasting correlated time series with exponential smoothing models , 2011 .

[33]  I. Johnstone,et al.  Wavelet Threshold Estimators for Data with Correlated Noise , 1997 .

[34]  I. Johnstone,et al.  Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .

[35]  Mondher Frikha,et al.  A Comparitive Survey of ANN and Hybrid HMM/ANN Architectures for Robust Speech Recognition , 2012 .