The main theme of this paper is to present novel controller, which is a genetic based fuzzy Logic controller, for interior permanent magnet synchronous motor drives with direct torque control. A radial basis function network has been used for online tuning of the genetic based fuzzy logic controller. Initially different operating conditions are obtained based on motor dynamics incorporating...

The game Fox and Geese is solved using retrograde analysis. A neural network trained using a co-evolutionary genetic algorithm with the help of the expert knowledge database was found to be a very capable Fox and Geese player after training, and quickly learned to beat training opponents. Key-Words: Game theory, rote-learning, neural networks, genetic algorithms, co-evolution.

With the increase in network based attacks in general, and the world-wide access to computer networks and systems in particular, those responsible for network and computer system security need to utilize every tool available. To achieve this objective Genetic Algorithm Based Intrusion Detection System has been Proposed. Implementation of genetic algorithm is unique as it considers both temporal...

the bankruptcy prediction models have long been proposedas a key subject in finance. the present study, therefore, makes aneffort to examine the corporate bankruptcy prediction through employmentof the genetic algorithm model. furthermore, it attempts to evaluatethe strategies to overcome the drawbacks of ordinary methods forbankruptcy prediction through application of genetic algorithms. thesa...

Template learning has potential application in several areas of Cellular Neural Network research, including texture recognition, pattern detection and so on. In this letter, a recently-developed algorithm called Adaptive Simulated Annealing is investigated for learning CNN templates, as a superior alternative to the Genetic Algorithm. key words: adaptive simulated annealing, cellular neural net...

SUMMARY Diagnostic residual and partial residual plots are proposed to identify nonlinearity in covariates for generalized linear models. It is shown that these plots are complement each other in the detection of nonlinearity. In addition, a transformed additive model which allows the resulting residual and partial residual plots to be obtained through the standard least squares approach is pro...