Surface Approximation using Growing Self-Organizing Nets and Gradient Information
In this paper we show how to improve the performance of two self-organizing neural networks used to approximate the shape of a 2D or 3D object by incorporating gradient information in the adaptation stage. The methods are based on the growing versions of the Kohonen's map and the neural gas net...
Saved in:
Main Authors: | Jorge Rivera-Rovelo, Eduardo Bayro-Corrochano |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2007-01-01
|
Series: | Applied Bionics and Biomechanics |
Online Access: | http://dx.doi.org/10.1080/11762320701797745 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Large-Scale Evolutionary Strategy Based on Gradient Approximation
by: Jin Jin
Published: (2021-01-01) -
The Conjugate Gradient Viscosity Approximation Algorithm for Split Generalized Equilibrium and Variational Inequality Problems
by: Meixia Li, et al.
Published: (2018-01-01) -
A gender perspective on Internet use: consequences for information seeking on the net
by: AnnBritt Enochsson
Published: (2005-01-01) -
Self-Organizing Architecture for Information Fusion in Distributed Sensor Networks
by: Javier Bajo, et al.
Published: (2015-03-01) -
Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention
by: Kavi Priya S, et al.
Published: (2022-01-01)