Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
20
click to vote
IWANN
2005
Springer
favorite
Email
discuss
report
89
views
Neural Networks
»
more
IWANN 2005
»
Memetic Algorithms to Product-Unit Neural Networks for Regression
14 years 4 months ago
Download
sci2s.ugr.es
Francisco J. Martínez-Estudillo, Cés
Real-time Traffic
IWANN 2005
|
claim paper
Related Content
»
Evolutionary product unit based neural networks for regression
»
Global Optimization Algorithms for Training Product Unit Neural Networks
»
Convergence of BP algorithm for product unit neural networks with exponential weights
»
Learning what to ignore Memetic climbing in topology and weight space
»
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neura...
»
A Memetic Pareto Evolutionary Approach to Artificial Neural Networks
»
An Adaptive GlobalLocal Memetic Algorithm to Discover Resources in P2P Networks
»
A study on metamodeling techniques ensembles and multisurrogates in evolutionary computati...
»
Memetic Algorithms for Feature Selection on Microarray Data
more »
Post Info
More Details (n/a)
Added
28 Jun 2010
Updated
28 Jun 2010
Type
Conference
Year
2005
Where
IWANN
Authors
Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Domingo Ortiz-Boyer
Comments
(0)
Researcher Info
Neural Networks Study Group
Computer Vision