Book ChapterDOI
Radial basis function neural network based on order statistics
José A. Moreno-Escobar,Francisco J. Gallegos-Funes,Volodymyr Ponomaryov,Jose M. de-la-Rosa-Vazquez +3 more
- pp 150-160
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TLDR
The proposed neural network uses the Median M-type (MM) estimator in the scheme of radial basis function to train the neural network and was proved an accurate estimation of the implied probabilities.Abstract:
In this paper we present a new type of Radial Basis Function (RBF) Neural Network based in order statistics for image classification applications. The proposed neural network uses the Median M-type (MM) estimator in the scheme of radial basis function to train the neural network. The proposed network is less biased by the presence of outliers in the training set and was proved an accurate estimation of the implied probabilities. From simulation results we show that the proposed neural network has better classification capabilities in comparison with other RBF based algorithms.read more
Citations
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Rank M-type radial basis function (RMRBF) neural network for Pap smear microscopic image classification
Francisco J. Gallegos-Funes,Margarita E. Gómez-Mayorga,José Luis López-Bonilla,Rene Cruz-Santiago +3 more
TL;DR: From simulation results, it is observed that the RMRBF neural network has better classification capabilities in comparison with other RBF based algorithms.
Journal ArticleDOI
A robust neuro-fuzzy classifier for the detection of cardiomegaly in digital chest radiographies
Fabian Torres-Robles,Alberto J. Rosales-Silva,Francisco J. Gallegos-Funes,Ivonne Bazán-Trujillo +3 more
TL;DR: A novel procedure that automatically and reliably determines the presence of cardiomegaly in chest image radiographies is presented and the classification results of the proposed fuzzy method using a Radial Basis Function (RBF) neural network are improved in terms of accuracy, sensitivity, and specificity.
Book ChapterDOI
Diagnosis of Cervical Cancer Using the Median M-Type Radial Basis Function (MMRBF) Neural Network
Margarita E. Gómez-Mayorga,Francisco J. Gallegos-Funes,Jose M. de-la-Rosa-Vazquez,Rene Cruz-Santiago,Volodymyr Ponomaryov +4 more
TL;DR: From simulation results, it is observed that the MMRBF neural network has better classification capabilities in comparison with the Median RBF algorithm used as comparative.
Journal ArticleDOI
Artificial intelligent systems application in cervical cancer pathological cell image classification systems — a review
Massoud Sokouti,Babak Sokouti +1 more
TL;DR: In this paper, a review of algorithms used for cervical cancer cell image classification is presented, this includes pre-processing steps (noise reduction and cell segmentation/without segmentation), feature extraction, and intelligent diagnosis systems and their evaluations.
Dissertation
Deteccion de insuficiencias cardiacas mediante la red neuronal de base radial difusa
TL;DR: A novel methodology capable of make a reliable diagnosis of cardiac insufficiencies, that would be useful as a support for the physician non-expert in cardiology, that was developed in MatlLab R2008 in a conventional compute system.
References
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Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Book
Neural Networks: A Systematic Introduction
TL;DR: The authors may not be able to make you love reading, but neural networks a systematic introduction will lead you to love reading starting from now.
Book
Radial Basis Functions: Theory and Implementations
TL;DR: In this paper, a radial basis function approximation on infinite grids is proposed, based on the wavelet method with radial basis functions (WBFF) with compact support, which is a general method for approximation and interpolation.
Journal ArticleDOI
Radial Basis Functions
Martin D. Buhmann,M. D. Buhmann +1 more
TL;DR: This paper gives a selective but up-to-date survey of several recent developments that explains their usefulness from the theoretical point of view and contributes useful new classes of radial basis function.
Journal ArticleDOI
Image processing with neural networks–a review
TL;DR: The various applications of neural networks in image processing are categorised into a novel two-dimensional taxonomy for image processing algorithms and their specific conditions are discussed in detail.