Title :
Non-iterative Radial Basis Function Neural Networks to Quality Control via Image Processing
Author :
Noradino Montes Dorantes, Pascual ; Mendez, Gerardo Maximiliano
Author_Institution :
Univ. Autonoma del Noreste, Coahuila, Mexico
Abstract :
This paper presents non-iterative radial basis function network hybridized with factorial design 2k that optimizes the modelling phase for the network, to train the model is used only one iteration to generate online system and avoid the overtraining caused by the multiple iterations.
Keywords :
image processing; iterative methods; radial basis function networks; image processing; modelling phase; multiple iterations; noniterative radial basis function neural networks; quality control; Artificial neural networks; Computational modeling; Image processing; Matrix converters; Quality control; Radial basis function networks; Yttrium; RBFN; Radial basis function network; artificial vision; expert systems; factorial design; quality control;
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
DOI :
10.1109/TLA.2015.7387253
