Volume 2, Issue 2, June 2009
Special issue on Computational Intelligence Applied to Nonlinear Dynamics and Synchronization
Pages: 104 - 114
We investigate the influence of the update dynamics on the evolution of cooperation. Three of the most
studied games in this area are used: Prisonerâ€™s Dilemma, Snowdrift and the Stag Hunt. Previous studies
with the Prisonerâ€™s Dilemma game reported that less cooperators survive with the asynchronous...
Pages: 115 - 123
Network-on-chip (NoC) are considered the next generation of communication infrastructure, which will
be omnipresent in most of industry, office and personal electronic systems. In platform-based methodology,
an application is implemented by a set of collaborating intellectual properties (IPs) blocks....
Pages: 124 - 131
A new learning algorithm for advanced robot locomotion is presented in this paper. This method involves both
Cellular Neural Networks (CNN) technology and an evolutionary process based on genetic algorithm (GA) for a
learning process. Learning is formulated as an optimization problem. CNN Templates...
Pages: 132 - 139
The estimation of cost and production functions in economics relies on standard specifications which are less than
satisfactory in numerous situations. However, instead of fitting the data with a pre-specified model, Artificial
Neural Networks (ANNs) let the data itself serve as evidence to support...
Pages: 140 - 146
We study the dynamics of a network consisting of N diffusively coupled, stable-limit-cycle oscillators on
which individual frequencies are parametrized by Ï‰k , k = 1, . . . , N. We introduce a learning rule which
influences the Ï‰k by driving the system towards a consensual oscillatory state in...
Pages: 147 - 157
This paper introduces a novel ensemble learning approach based on recurrent radial basis function
networks (RRBFN) for time series prediction with the aim of increasing the prediction accuracy.
Standing for the base learner in this ensemble, the adaptive recurrent network proposed is based
Pages: 158 - 167
Recognition of characteristic patterns is proposed in this paper in order to diagnose the presence of
electromechanical faults in induction electrical machines. Two common faults are considered; broken rotor bars and
mixed eccentricities. The presence of these faults leads to the appearance of frequency...