Large scattered data interpolation with radial basis functions and space subdivision
We propose a new approach for the radial basis function (RBF) interpolation of large
scattered data sets. It uses the space subdivision technique into independent cells allowing …
scattered data sets. It uses the space subdivision technique into independent cells allowing …
Vector field radial basis function approximation
Vector field simplification aims to reduce the complexity of the flow by removing features
according to their relevance and importance. Our goal is to preserve only the important …
according to their relevance and importance. Our goal is to preserve only the important …
Radio Wave Attenuation due to Clouds from Traditional Models to ML Models—A State of Art
The demand for more radio spectrum bandwidths has risen as a result of recent
developments in wireless technology from every field of the wireless industry. It's getting …
developments in wireless technology from every field of the wireless industry. It's getting …
Radial basis function and multi-level 2D vector field approximation
We propose a new approach for meshless multi-level radial basis function (ML-RBF)
approximation which offers data-sensitive compression and progressive details …
approximation which offers data-sensitive compression and progressive details …
Prediction of radio wave attenuation due to clouds using ANN and its business aspects
The demand for more radio spectrum bandwidths has risen as a result of recent
developments in wireless technology from every field of the wireless industry. It's getting …
developments in wireless technology from every field of the wireless industry. It's getting …
Efficient speed-up of radial basis functions approximation and interpolation formula evaluation
This paper presents a method for efficient Radial basis function (RBF) evaluation if
compactly supported radial basis functions (CSRBF) are used. Application of CSRBF leads …
compactly supported radial basis functions (CSRBF) are used. Application of CSRBF leads …
Optimized design and analysis of microstrip antenna using artificial neural network
C Nayak, P Kumar - … on Current Trends in Computer, Electrical …, 2017 - ieeexplore.ieee.org
An Antenna is a device made of conducting material which transmits and receives
electromagnetic signals. Antennas are widely used as device for transmission of signals …
electromagnetic signals. Antennas are widely used as device for transmission of signals …
A new strategy for scattered data approximation using radial basis functions respecting points of inflection
The approximation of scattered data is known technique in computer science. We propose a
new strategy for the placement of radial basis functions respecting points of inflection. The …
new strategy for the placement of radial basis functions respecting points of inflection. The …
[引用][C] 2x2 Array Microstrip Patch Antenna Designing and Validation with Artificial Neural Networks
A novel and successful method for RF, microwave modelling, and antenna design has
gained attention: computational modules based on neural networks. The behavior of active …
gained attention: computational modules based on neural networks. The behavior of active …