adaptive radial basis function
Unified Noise Reduction using Adaptive Radial Basis Function
... to radial basis function architecture. Radial basis function uses adaptive form of Gaussian basis function which supports the local correlation of pixels for ...
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Adaptive Radial Basis Function Detector for Beamforming
... Adaptive beamforming is capable of separating user signals transmitted on the same carrier frequency, and thus provides a practical means of supporting multiusers in a space-division multiple-access scenario ...
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Adaptive Radial Basis Function Methods for Pricing Options Under Jump Diffusion Models
... an adaptive RBF-scheme will allow us to deal with the singularity in the op- tion ...explain adaptive residual subsampling method and then define our RBF algorithm for solving PIDEs, which we implement the ...
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Adaptive Radial Basis Function Detector for Beamforming
... Conclusions ❏ Nonlinear beamforming achieves significantly smaller system bit error rate and larger user capacity ❏ Optimal Bayesian beamforming solution has an inherent symmetry structu[r] ...
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An Adaptive Neural Network Based Energy Storage Control for Operation Enhancement of a Multi-Generator AC and Wind Power System
... Online adaptive neural network (NN) control a capacitor ES device for a multi-generator power system with mixed AC and doubly fed induction generator (DFIG) has been investigated in this ...employing radial ...
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Compactly Supported Radial Basis Function Kernels
... sparsifying radial basis function kernels such that the resulting kernel is compactly supported, and hence has a sparse Gram ...an adaptive tuning approach for the thresholding ...
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An Efficient Artificial Intelligence Maximum Power Point Tracker Based On Genetic Algorithm-Radial Basis Function
... on Adaptive GA-RBF was ...using adaptive GA, to optimize RBF neural network reduced considerably the mse, this made the new method more robust in tracking the maximum power ...
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Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology
... using radial basis function (RBF) and the hybrid machine learning method of adaptive neuro-fuzzy inference system (ANFIS) to predict various variables of the combine harvester for the optimal ...
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Adaptive sliding mode control with radial basis function neural network for time dependent disturbances and uncertainties
... A radial basis function neural network (RBFNN) based adaptive sliding mode controller is presented in this paper to cater for a 3-DOF robot manipulator with time-dependent uncertainties and ...
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Symmetric Radial Basis Function Network Equaliser
... A block-data based algorithm is developed for the con- struction of the symmetric RBF equaliser using the orthog- onal forward selection (OFS) procedure combined with the Fisher ratio of class separability measure ...
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Adaptive narrowband interference mitigation by designing UWB waveforms based on radial basis function neural networks
... In [4], based on the emerging concept of cognitive radios (CRs), multiple pulse waveforms adaption is considered for generating the expected spectral notches while matching FCC spectral mask. A novel UWB pulse designing ...
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A radial basis function WENO method with stencil adaptivity
... gulation T . A cell T ∈ T is derefined by removing its nodes from the triangulation T . This means that all cells sharing a node have to be marked for derefinement for the node to be suc- cessfully removed from the ...
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An Adaptive Controller using Radial Basis Function Neural Network with Reinforcement Learning
... A self-tuning PID control strategy using reinforcement learning is given to deal with conventional tracking control problems. Actor-Critic learning is used to tune PID parameters in an adaptive way to take ...
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Burst by Burst Adaptive Turbo Coded Radial Basis Function Assisted Decision Feedback Equalization
... (BbB)- adaptive Kalman filtered AQAM scheme. Radial basis function (RBF)-assisted decision feedback equalization (DFE) has been documented in the context of fixed-mode modulation schemes [6], ...
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A Wideband Radial Basis Function Decision Feedback Equaliser Assisted Burst by Burst Adaptive Modem
... URST-BY-BURST adaptive quadrature amplitude mod- ulation (AQAM) schemes employ a higher order modu- lation mode in a transmission burst, when the channel quality is favorable, in order to increase the bits per ...
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Designinga Neuro-Sliding Mode Controller for Networked Control Systems with Packet Dropout
... switching function used in the sliding mode control design, an improved genetic algorithm is ...an adaptive neural sliding mode control based on radial-basis function neural network ...
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DPCA does this task by extracting
... Abstract— In this paper, a new soft sensor methodology is proposed for estimation of product concentration in a chemical process. The new soft sensor utilizes dynamic principle component analysis (DPCA) method to select ...
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Radial Basis Function Decision Feedback Equaliser Assisted Burst by Burst Adaptive Modulation
... In deriving the upper bound performance of the joint adaptive modulation and RBF based equalisation scheme, in addition to the assumptions listed in Section 3.1, we also assume that the [r] ...
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Writer Identification and Recognition Using Radial Basis Function
... In this Paper, we have presented a writer identification and recognition system that utilizes Radial Basis Function (RBF) in the Off-line mode. Our approach is text independent and uses text lines as ...
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Face Recognition by Radial Basis Function Network (RBFN)
... using Radial Basis Function Network (RBFN) is an attractive solution for the researchers who are working on the field of machine recognition, pattern recognition and computer ...and radial ...
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