Median M-type radial basis function neural network

Authors:
José A. Moreno-Escobar;Francisco J. Gallegos-Funes;Volodymyr I. Ponomaryov
Affiliations:
National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Mexico, D. F., Mexico;National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Mexico, D. F., Mexico;National Polytechnic Institute of Mexico, Mechanical and Electrical Engineering Higher School, Mexico, D. F., Mexico
Venue:
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Year:
2007

Citing 12
Cited 1

Original Contribution: On the training of radial basis function classifiers

Neural Networks
The pocket handbook of imaging processing algorithms in C

The pocket handbook of imaging processing algorithms in C
Neural networks: a systematic introduction

Neural networks: a systematic introduction
Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation
Handbook of Computer Vision Algorithms in Image Algebra

Handbook of Computer Vision Algorithms in Image Algebra
Radial Basis Functions

Radial Basis Functions
Real-time image filtering scheme based on robust estimators in presence of impulsive noise

Real-Time Imaging
ABST M-Type K-Nearest Neighbor (ABSTM-KNN) for Image Denoising

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Object classification in 3-D images using alpha-trimmed mean radial basis function network

IEEE Transactions on Image Processing
Median radial basis function neural network

IEEE Transactions on Neural Networks
Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques

IEEE Transactions on Neural Networks
On the construction and training of reformulated radial basis function neural networks

IEEE Transactions on Neural Networks

Diagnosis of Cervical Cancer Using the Median M-Type Radial Basis Function (MMRBF) Neural Network

MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present the capability of the Median M-Type Radial Basis Function (MMRBF) Neural Network in 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. Other RBF based algorithms were compared with our approach. From simulation results we observe that the MMRBF neural network has better classification capabilities.