Ionosphere tomography using wavelet neural network and particle swarm optimization training algorithm in Iranian case study
Sign Up to like & getrecommendations! Published in 2017 at "GPS Solutions"
DOI: 10.1007/s10291-017-0614-9
Abstract: Computerized tomography provides valuable information for imaging the ionospheric electron density distribution. We use a wavelet neural network with a particle swarm optimization training algorithm to solve pixel-based ionospheric tomography. This new method is called… read more here.
Keywords: network particle; network; wavelet neural; method ... See more keywords
Modeling and characteristic analysis of fouling in a wet cooling tower based on wavelet neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2019.02.041
Abstract: Abstract In this work, cooling effectiveness decline during operation of cooling towers has been modeled using local linear wavelet neural networks. The algorithm of particle swarm optimization (PSO) is employed to optimize the parameters of… read more here.
Keywords: neural networks; wavelet neural; modeling characteristic; model ... See more keywords
A novel design of Gaussian Wavelet Neural Networks for nonlinear Falkner-Skan systems in fluid dynamics
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Journal of Physics"
DOI: 10.1016/j.cjph.2021.05.012
Abstract: Abstract In this study, a design of integrated computational intelligent paradigm has been presented for numerical treatment of the one-dimensional boundary value problems represented with Falkner-Skan equations (FSE) by exploitation of Gaussian wavelet neural networks… read more here.
Keywords: gaussian wavelet; neural networks; gwnn sqp; wavelet neural ... See more keywords
State of charge estimation of lithium-ion batteries using optimized Levenberg-Marquardt wavelet neural network
Sign Up to like & getrecommendations! Published in 2018 at "Energy"
DOI: 10.1016/j.energy.2018.04.085
Abstract: Abstract State of charge (SOC) is one of the most critical parameters for indication of the remaining energy which is vital important for the safety and reliability of power system. In this paper, Levenberg-Marquardt (L-M)… read more here.
Keywords: levenberg marquardt; state charge; estimation; network ... See more keywords
Lithium-ion battery state of health estimation using the incremental capacity and wavelet neural networks with genetic algorithm
Sign Up to like & getrecommendations! Published in 2021 at "Journal of energy storage"
DOI: 10.1016/j.est.2021.102570
Abstract: Abstract Accurate state of health (SOH) is a crucial factor for the regular operation of the electric vehicle. Compared with the equivalent circuit methods, the data-driven methods do not rely on the battery model and… read more here.
Keywords: health; incremental capacity; capacity wavelet; battery ... See more keywords
Wavelet neural network PID controller for a UAS transporting a cable-suspended load
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.419
Abstract: Abstract A novel model-free Adaptive Wavenet PID (AWPID)-based controller for enabling an Unmanned Aircraft System (UAS) to transport a cable suspended load of unknown characteristics is presented. The control design enables the UAS to perform… read more here.
Keywords: cable suspended; wavelet neural; suspended load; neural network ... See more keywords
Robust adaptive control of voltage-type MLS based on wavelet neural network
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2194
Abstract: Abstract In this paper, a novel robust adaptive controller based on wavelet neural network is proposed for voltage-type magnetic levitation system with unknown control direction. First, coordinate transformation is used to simplify the model of… read more here.
Keywords: voltage type; neural network; control; wavelet neural ... See more keywords
Study on wavelet neural network based anomaly detection in ocean observing data series
Sign Up to like & getrecommendations! Published in 2019 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2019.106129
Abstract: Abstract In this paper, a novel method is presented for detecting anomalies in ocean fixed-point observing time series, which combines wavelet neural network (WNN), classifying threshold and two detecting strategies. The WNN was developed without… read more here.
Keywords: neural network; method; wavelet neural; study wavelet ... See more keywords
Research on improved convolutional wavelet neural network
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-97195-6
Abstract: Artificial neural networks (ANN) which include deep learning neural networks (DNN) have problems such as the local minimal problem of Back propagation neural network (BPNN), the unstable problem of Radial basis function neural network (RBFNN)… read more here.
Keywords: network; wavelet neural; cwnn; neural network ... See more keywords
A prediction model with wavelet neural network optimized by the chicken swarm optimization for on-ramps metering of the urban expressway
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2021.1890070
Abstract: Abstract Urban expressway, which plays a significant role in medium-and-long distance express travel, influences transport efficiency of an area in a city. The operation efficiency of an urban expressway system can be promoted by on-ramp… read more here.
Keywords: expressway; neural network; urban expressway; chicken swarm ... See more keywords
Wavelet Neural Network Based Multiobjective Interval Prediction for Short-Term Wind Speed
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2877735
Abstract: As a source of clean and pollution-free renewable energy, wind power has attracted much attention and has been increasingly integrated into the existing power system. However, the uncertain and volatile wind speed makes the utilization… read more here.
Keywords: multiobjective interval; wavelet neural; speed; wind speed ... See more keywords