System identification: A machine learning perspective
Estimation of functions from sparse and noisy data is a central theme in machine learning. In
the last few years, many algorithms have been developed that exploit Tikhonov …
the last few years, many algorithms have been developed that exploit Tikhonov …
[HTML][HTML] Mineral prospectivity map** based on wavelet neural network and Monte Carlo simulations in the Nanling W-Sn metallogenic province
Abstract The Nanling Range in South China is endowed with abundant W-Sn and other
important rare metal resources associated with granitic intrusions, but the rate of new major …
important rare metal resources associated with granitic intrusions, but the rate of new major …
[BOOK][B] Adaptive approximation based control: unifying neural, fuzzy and traditional adaptive approximation approaches
JA Farrell, MM Polycarpou - 2006 - books.google.com
A highly accessible and unified approach to the design and analysis of intelligent control
systems Adaptive Approximation Based Control is a tool every control designer should have …
systems Adaptive Approximation Based Control is a tool every control designer should have …
AWNN-assisted wind power forecasting using feed-forward neural network
With the growing wind power penetration in the emerging power system, an accurate wind
power forecasting method is very much essential, to help the system operators, to include …
power forecasting method is very much essential, to help the system operators, to include …
Wavelet neural networks: A practical guide
Wavelet networks (WNs) are a new class of networks which have been used with great
success in a wide range of applications. However a general accepted framework for …
success in a wide range of applications. However a general accepted framework for …
FWNNet: Presentation of a New Classifier of Brain Tumor Diagnosis Based on Fuzzy Logic and the Wavelet‐Based Neural Network Using Machine‐Learning Methods
M Ahmadi, F Dashti Ahangar, N Astaraki… - Computational …, 2021 - Wiley Online Library
In this paper, we present a novel classifier based on fuzzy logic and wavelet transformation
in the form of a neural network. This classifier includes a layer to predict the numerical …
in the form of a neural network. This classifier includes a layer to predict the numerical …
An adaptive wavelet neural network-based energy price forecasting in electricity markets
In a competitive electricity market, an accurate forecasting of energy prices is an important
activity for all the market participants either for develo** bidding strategies or for making …
activity for all the market participants either for develo** bidding strategies or for making …
Distributed coordinated tracking control of multiple unmanned surface vehicles under complex marine environments
X Liang, X Qu, Y Hou, Y Li, R Zhang - Ocean Engineering, 2020 - Elsevier
In this paper, a coordinated tracking strategy with swarm center identification, self-organized
aggregation, collision avoidance and distributed controller design for multiple unmanned …
aggregation, collision avoidance and distributed controller design for multiple unmanned …
Short term solar irradiance forecasting using a mixed wavelet neural network
In modern smart grids and deregulated electricity markets, accurate forecasting of solar
irradiance is critical for determining the total energy generated by PV systems. We propose a …
irradiance is critical for determining the total energy generated by PV systems. We propose a …
Improved generalization of NARX neural networks for enhanced metamodeling of nonlinear dynamic systems under stochastic excitations
Nonlinear autoregressive networks with exogenous inputs (NARX) are popular in data-
driven metamodeling of complex dynamic systems. One practical challenge is the …
driven metamodeling of complex dynamic systems. One practical challenge is the …