Results 111 to 120 of about 265,148 (311)
Fractal and FractionalThis paper investigates the tracking problem of fractional-order multi-agent systems. Both the order and parameters of the leader are unknown. Firstly, based on the positive system approach, the asymptotically stable criteria for incommensurate linear ...
Conggui Huang, Fei Wang
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Flash-flood forecasting by means of neural networks and nearest neighbour approach – a comparative study [PDF]
Nonlinear Processes in Geophysics, 2006 In this paper, Multi-Layer Perceptron and Radial-Basis Function Neural Networks, along with the Nearest Neighbour approach and linear regression are utilized for flash-flood forecasting in the mountainous Nysa Klodzka river catchment.
A. Piotrowski +2 more
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Dual‐Ligand Metal‐Organic Frameworks via In Situ Amidoxime Engineering for Selective Ion Separation
Advanced Functional Materials, EarlyView.Inspired by microbial ion‐trapping mechanisms, a mild and universal strategy is developed to construct highly porous amidoxime‐functionalized MOFs. DFT calculations and molecular force measurements reveal that the dual‐ligand amidoxime configuration significantly strengthens Ga(III) affinity.
Zhifang Lv +9 more
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An Adaptive Learning Rate for RBFNN Using Time-Domain Feedback Analysis
The Scientific World Journal, 2014 Radial basis function neural networks are used in a variety of applications such as pattern recognition, nonlinear identification, control and time series prediction.
Syed Saad Azhar Ali +3 more
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Radial basis function network using Lambert-Tsallis Wq function
, 2019 The present work brings two applications of the Lambert-Tsallis Wq function in radial basis function networks (RBFN). Initially, a RBFN is used to discriminate between entangled and disentangled bipartite of qubit states. The kernel used is based on the Lambert-Tsallis Wq function for q = 2 and the quantum relative disentropy is used as distance ...
da Silva, J. L. M. +2 more
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Fluorine‐Free Soft Nanocomposites for High‐Speed Liquid Impact Repellence
Advanced Functional Materials, EarlyView.Fluorine‐free soft nanocomposite coatings are developed using silicone oil‐mediated mechanical‐stiffness control, enabling ‘dry’ liquid‐repellent surfaces that resist high‐speed water jet impacts up to ∼60 m/s. By tuning nanoparticle loading and oil content, the coatings also achieve >90% optical transparency, amphiphobicity with impact resistance to ...
Priya Mandal +4 more
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Orthogonal least squares learning algorithm for radial basis function networks
IEEE Trans. Neural Networks, 1991 Shang-Liang Chen, C. Cowan, P. Grant
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Advanced Functional Materials, EarlyView.Applying a high electric field to a doped organic semiconductor heats up the charge carrier distribution beyond the lattice temperature, enhancing conductivity. It is shown that the associated effective temperature can be used to extract the effective localization length, which is a characteristic length scale of charge transport and provides ...
Morteza Shokrani +4 more
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MathematicsThe radial basis function architecture and the multilayer perceptron architecture are very different approaches to neural networks in theory and practice.
László Kovács
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Deep Radial Basis Function Networks
Radial basis function (RBF) networks are often viewed as instable when used in multi-layered architectures and therefore are mostly used in a single-layered manner. Universal approximation theorems for single-layered RBF networks further render deeper architectures useless.
Fabian Wurzberger, Friedhelm Schwenker
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