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ACS
2004
15 years 6 months ago
A Categorical Approach to Threshold Agent Networks
Threshold agent networks (TANs) constitute a discretized modification of threshold (also known as neural) networks that are appropriate for modeling computer simulations. In this p...
George Voutsadakis
NN
2007
Springer
15 years 6 months ago
Awaking and sleeping of a complex network
A network with a logistic-like local dynamics is considered. We implement a mean-field multiplicative coupling among first-neighbor nodes. When the coupling parameter is small, ...
R. López-Ruiz, Y. Moreno, A. F. Pacheco, S....
IJCNN
2007
IEEE
16 years 1 months ago
A Wrapper for Projection Pursuit Learning
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Ferna...
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
16 years 1 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
IEAAIE
2005
Springer
16 years 11 days ago
Predicting Construction Litigation Outcome Using Particle Swarm Optimization
Construction claims are normally affected by a large number of complex and interrelated factors. It is highly desirable for the parties to a dispute to know with some certainty how...
Kwok-wing Chau