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» Optimal spontaneous activity in neural network modeling
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GECCO
2000
Springer
15 years 1 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith
SBRN
2000
IEEE
15 years 2 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
VW
2000
Springer
128views Virtual Reality» more  VW 2000»
15 years 1 months ago
The World of Framsticks: Simulation, Evolution, Interaction
A three-dimensional virtual world simulation is described, where evolution takes place and it is possible to investigate behaviors of creatures in real-time. Bodies of these creatu...
Maciej Komosinski
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
15 years 3 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
15 years 3 months ago
Daily Stock Prediction Using Neuro-genetic Hybrids
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Yung-Keun Kwon, Byung Ro Moon