Image compression using hybrid neural networks combining the auto-associative multi-layer perceptron and the self-organizing feature map

IEEE Transactions on Consumer Electronics ◽

10.1109/30.338325 ◽

1994 ◽

Vol 40 (4) ◽

pp. 796-811 ◽

Cited By ~ 7

Author(s):

M.A. Abidi ◽

S. Yasuki ◽

P.B. Crilly

Keyword(s):

Neural Networks ◽

Image Compression ◽

The Self ◽

Multi Layer Perceptron ◽

Feature Map ◽

Hybrid Neural Networks ◽

Self Organizing

Download Full-text

Image fusion based on the self-organizing feature map neural networks

10.1117/12.395076 ◽

2000 ◽

Cited By ~ 1

Author(s):

Zhaoli Zhang ◽

Sheng-He Sun

Keyword(s):

Neural Networks ◽

Image Fusion ◽

The Self ◽

Feature Map ◽

Self Organizing

Download Full-text

Online monitoring of weld defects for short-circuit gas metal arc welding based on the self-organizing feature map neural networks

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium ◽

10.1109/ijcnn.2000.861464 ◽

2000 ◽

Cited By ~ 7

Author(s):

Li Di ◽

Song Yonglun ◽

Ye Feng

Keyword(s):

Neural Networks ◽

Arc Welding ◽

Online Monitoring ◽

Short Circuit ◽

Gas Metal Arc Welding ◽

The Self ◽

Feature Map ◽

Weld Defects ◽

Metal Arc Welding ◽

Self Organizing

Download Full-text

Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks

Remote Sensing of Environment ◽

10.1016/j.rse.2009.05.014 ◽

2009 ◽

Vol 113 (10) ◽

pp. 2089-2102 ◽

Cited By ~ 166

Author(s):

Xuefei Hu ◽

Qihao Weng

Keyword(s):

Neural Networks ◽

Spatial Resolution ◽

The Self ◽

Self Organizing Map ◽

Impervious Surfaces ◽

Multi Layer Perceptron ◽

Self Organizing

Download Full-text

The Rapid Kernel Classifier: A Link between the Self-Organizing Feature Map and the Radial Basis Function Network

Journal of Intelligent Material Systems and Structures ◽

10.1177/1045389x9400500207 ◽

1994 ◽

Vol 5 (2) ◽

pp. 211-219 ◽

Cited By ~ 3

Author(s):

Joydeep Ghosh ◽

Srinivasa V. Chakravarthy

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

The Self ◽

Feature Map ◽

Radial Basis ◽

Function Network ◽

Self Organizing

Download Full-text

Design of Vector Quantizer for Image Compression Using Self-Organizing Feature Map and Surface Fitting

IEEE Transactions on Image Processing ◽

10.1109/tip.2004.833107 ◽

2004 ◽

Vol 13 (10) ◽

pp. 1291-1302 ◽

Cited By ~ 29

Author(s):

A. Laha ◽

N.R. Pal ◽

B. Chanda

Keyword(s):

Image Compression ◽

Surface Fitting ◽

Feature Map ◽

Vector Quantizer ◽

Self Organizing

Download Full-text

On line monitoring of burning through for short circuit CO2 arc welding based on the self-organize feature map neural networks

Chinese Journal of Mechanical Engineering ◽

10.3901/cjme.2001.02.106 ◽

2001 ◽

Vol 14 (02) ◽

pp. 106

Author(s):

Di Li

Keyword(s):

Neural Networks ◽

Arc Welding ◽

Short Circuit ◽

The Self ◽

Feature Map ◽

On Line

Download Full-text

Image Retrieval Based on Self-Organizing Feature Map and Multilayer Perceptron Neural Networks Classifier

2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS) ◽

10.1109/icicis46948.2019.9014768 ◽

2019 ◽

Author(s):

Moshira S. Ghaleb ◽

Hala M. Ebied ◽

Howida A. Shedeed ◽

Mohamed F. Tolba

Keyword(s):

Neural Networks ◽

Image Retrieval ◽

Multilayer Perceptron ◽

Feature Map ◽

Self Organizing

Download Full-text

The application of the self-organizing map, the k-means algorithm and the multi-layer perceptron to the detection of technical trading patterns

Applied Financial Economics ◽

10.1080/09603100701367385 ◽

2008 ◽

Vol 18 (12) ◽

pp. 1009-1019

Author(s):

J. P. Marney ◽

Heather Tarbert ◽

Jos Koetsier ◽

Marco Guidi

Keyword(s):

The Self ◽

Self Organizing Map ◽

Multi Layer Perceptron ◽

Technical Trading ◽

Trading Patterns ◽

Self Organizing

Download Full-text

An efficient initialization scheme for the self-organizing feature map algorithm

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) ◽

10.1109/ijcnn.1999.832672 ◽

2003 ◽

Cited By ~ 6

Author(s):

Mu-Chun Su ◽

Ta-Kang Liu ◽

Hsiao-Te Chang

Keyword(s):

The Self ◽

Feature Map ◽

Map Algorithm ◽

Initialization Scheme ◽

Self Organizing

Download Full-text

SPHERICAL SELF-ORGANIZING FEATURE MAP: AN INTRODUCTORY REVIEW

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127406016732 ◽

2006 ◽

Vol 16 (11) ◽

pp. 3195-3206 ◽

Cited By ~ 13

Author(s):

ARCHANA P. SANGOLE ◽

ALEXANDROS LEONTITSIS

Keyword(s):

Fractal Dimension ◽

Chaotic Maps ◽

High Dimensional Data ◽

The Self ◽

High Dimensional ◽

Feature Map ◽

Engineering Sciences ◽

Physical Measures ◽

Introductory Review ◽

Self Organizing

The self-organizing feature map (SOFM) has received great attention from researchers in a variety of areas such as engineering sciences, medicine, biology and economics. The topology of these maps is usually based on 1, 2, or 3 dimensions, forming a lattice. This article discusses various aspects of the spherical SOFMs along with examples illustrating its implementation on high-dimensional data. The main advantage of the spherical SOFM is the ability to visualize complex high-dimensional data by encapsulating physical measures of the data within the 3D attributes of its spherical lattice. The article presents the potential of the spherical SOFM to visualize nonlinear data using examples of two chaotic maps, Hénon and Ikeda, with a fractal dimension of 1.2 and 1.7 respectively embedded in 2–5 dimensions.

Download Full-text