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GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 2 months ago
The effect of learning on life history evolution
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...
John A. Bullinaria
EAAI
2006
98views more  EAAI 2006»
13 years 8 months ago
Neural network-based failure rate prediction for De Havilland Dash-8 tires
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
Ahmed Z. Al-Garni, Ahmad Jamal, Abid M. Ahmad, Abd...
EH
2005
IEEE
158views Hardware» more  EH 2005»
14 years 1 months ago
Hardware Evolution of Analog Circuits for In-situ Robotic Fault-Recovery
We present a method for evolving and implementing artificial neural networks (ANNs) on Field Programmable Analog Arrays (FPAAs). These FPAAs offer the small size and low power usa...
Dmitry Berenson, Nicolás S. Estévez,...
IWANN
2009
Springer
14 years 2 months ago
Special Time Series Prediction: Creep of Concrete
This paper presents an algorithm, different from the classical time series, specialised in extracting knowledge from time series. The algorithm,
Juan L. Pérez, Fernando Martínez Abe...
INFORMATICALT
2000
118views more  INFORMATICALT 2000»
13 years 8 months ago
Hexagonal Approach and Modeling for the Visual Cortex
In this paper, the hexagonal approach was proposed for modeling the functioning of cerebral cortex, especially, the processes of learning and recognition of visual information. Thi...
Algis Garliauskas, Alvydas Soliunas