Using wavelet network in nonparametric estimation
Q Zhang - IEEE Transactions on Neural networks, 1997 - ieeexplore.ieee.org
Wavelet networks are a class of neural networks consisting of wavelets. In this paper,
algorithms for wavelet network construction are proposed for the purpose of nonparametric …
algorithms for wavelet network construction are proposed for the purpose of nonparametric …
Neural networks in system identification
Neural Networks are non-linear black-box model structures, to be used with conventional
parameter estimation methods. They have good general approximation capabilities for …
parameter estimation methods. They have good general approximation capabilities for …
Operating regime based process modeling and identification
TA Johansen, BA Foss - Computers & chemical engineering, 1997 - Elsevier
This paper presents a non-linear modeling framework that supports model development in
between empirical and mechanistic modeling. A model is composed of a number of local …
between empirical and mechanistic modeling. A model is composed of a number of local …
A rigorous inter-comparison of ground-level ozone predictions
Novel statistical approaches to prediction have recently been shown to perform well in
several scientific fields but have not, until now, been comprehensively evaluated for …
several scientific fields but have not, until now, been comprehensively evaluated for …
Wavenet ability assessment in comparison to ANN for predicting the maximum surface settlement caused by tunneling
A Pourtaghi, MA Lotfollahi-Yaghin - Tunnelling and Underground Space …, 2012 - Elsevier
An alternative method of maximum ground surface settlement prediction, which is based on
integration between wavelet theory and Artificial Neural Network (ANN), or wavelet network …
integration between wavelet theory and Artificial Neural Network (ANN), or wavelet network …
Statistical models to assess the health effects and to forecast ground-level ozone
By means of statistical approaches we attempt to bridge both aspects of the ground-level
ozone problem: assessment of health effects and forecasting and warning. Disagreement …
ozone problem: assessment of health effects and forecasting and warning. Disagreement …
Multidimensional wavelet frames
T Kugarajah, Q Zhang - IEEE Transactions on Neural Networks, 1995 - ieeexplore.ieee.org
Pati and Krishnaprasad (1990) first studied the connection between neural networks and
wavelet transforms. Zhang and Benveniste (1992) gave a different treatment of this …
wavelet transforms. Zhang and Benveniste (1992) gave a different treatment of this …
Multi-step ahead forecasts for electricity prices using NARX: a new approach, a critical analysis of one-step ahead forecasts
The prediction of electricity prices is very important to participants of deregulated markets.
Among many properties, a successful prediction tool should be able to capture long-term …
Among many properties, a successful prediction tool should be able to capture long-term …
Modelling SO2 concentration at a point with statistical approaches
In this paper, the results obtained by inter-comparing several statistical techniques for
modelling SO2 concentration at a point such as neural networks, fuzzy logic, generalised …
modelling SO2 concentration at a point such as neural networks, fuzzy logic, generalised …
Neural networks: an overview
G Dreyfus, G Dreyfus - Neural Networks: Methodology and Applications, 2005 - Springer
The present book is intended to assist the engineer or researcher in answering the following
question: can neural networks solve my problem, and can they do it more efficiently (in terms …
question: can neural networks solve my problem, and can they do it more efficiently (in terms …