radial basis function method
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2021 ◽  
Vol 1 ◽  
pp. 118-126
Author(s):  
Ariadi Retno

This study implemented the improvement of the network learning method, that is, the development of the Incremental Radial Basis Function (IRBF) network with the data used in this study was facial data. The classification of data on facial data was strongly influenced by the characteristics of the data, so that it affected the success of data recognition. This study showed that the percentage of learning success using the Radial Basis Function method, the learning data succeeded in identifying the classification of facial data with an average trial result of 99.45%. The identification of facial data learning with Incremental Radial Basis Function Development was 99.45% on learning data. In addition, the data for testing trials gained an increase in data with the average test results from 89.44% in the RBF method to 90.55% in the Modified Gaussian Incremental Radial Basis Function (MGIRBF) method. The method of developing the Incremental Radial Basis Function with a modified gaussian in this research was applied as a development after applying the Radial Basis Function method by prioritizing optimization by applying the characteristics of the Incremental Radial Basis Function method. 


2021 ◽  
Vol 11 (1) ◽  
pp. 391
Author(s):  
Riya Aggarwal ◽  
Bishnu P. Lamichhane ◽  
Michael H. Meylan ◽  
Chris M. Wensrich

The main objective of the current work is to determine meshless methods using the radial basis function (rbf) approach to estimate the elastic strain field from energy-resolved neutron imaging. To this end, we first discretize the longitudinal ray transformation with rbf methods to give us an unconstrained optimization problem. This discretization is then transformed into a constrained optimization problem by adding equilibrium conditions to ensure uniqueness. The efficiency and accuracy of this approach are investigated for the situation of 2d plane stress. In addition, comparisons are made between the results obtained with rbf collocation, finite-element (fem) and analytical solution methods for test problems. The method is then applied to experimentally measured continuous and discontinuous strain fields using steel samples for an offset ring-and-plug and crushed ring, respectively.


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