We previously proposed evolutionary fuzzy systems of playing Ms.PacMan for the competitions. As a consequence of the evolution, reflective action rules such that PacMan tries to eat pills effectively until ghosts come close to PacMan are acquired. Such rules works well. However, sometimes it is too reflective so that PacMan go toward ghosts by herself in longer corridors. In this paper, a criti...

A new approach to ow control in high speed communication network is proposed where the problem of ow control within a virtual circuit is modeled as a dynamic system with time delays and disturbances. In the proposed ow controller design, we apply: (1) a modiied Smith predictor to predict the backlog in each channel along a virtual circuit; (2) fuzzy CMAC neural networks to predict the time-vary...

A Cerebellar Model Articulation Controller(CMAC-) based modelling method and closed-loop control system were developed to estimate and control the weld fusion for measuring the topside and backside bead widths of the weld pool in High Power Direct Diode Laser (HPDDL) welding. Because of the difficulty in using backside sensor, a topside weld pool geometry is measured using a topside vision sens...

This paper describes an approach to robot ic cont ro l that is patterned after models of human skill acquisit ion. The in tent is to develop robots capable of learn ing how to accomplish complex tasks using designer-supplied instructions and self induced practice. A simulat ion is presented in which a rule-based system supervises the training of a neural network and controls the operat ion of t...

The emerging transformation from a product oriented economy to a service oriented economy based on Cloud environments envisions new scenarios where actual QoS (Quality of Service) mechanisms need to be redesigned. In such scenarios new models to negotiate and manage Service Level Agreements (SLAs) are necessary. An SLA is a formal contract which defines acceptable service levels to be provided ...

There have been numerous studies in understanding driver behavior for purpose of understanding contributing factors to high accident rates. Driving abnormalities could be one of the many factors affecting accidents and if it can be detected this will help prevent accidents. In this paper we present simple and effective methods for an in-car data acquisition in collecting real time driving data....

In this paper, we present a rapid learning algorithm called Dyna-QPC. The proposed algorithm requires considerably less training time than Q-learning and Table-based Dyna-Q algorithm, making it applicable to real-world control tasks. The Dyna-QPC algorithm is a combination of existing learning techniques: CMAC, Q-learning, and prioritized sweeping. In a practical experiment, the Dyna-QPC algori...

Breast cancer is becoming a leading cause of death among women in the world. However, it is confirmed that early detection and accurate diagnosis of this disease can ensure a long survival of the patients. This study proposes a self-validation cerebellar model articulation controller (SVCMAC) neural network which can yield high accuracy of predication and low false-negative rate for breast canc...

A wireless communication network is rich in interference and noise which makes the communication in the network unreliable. There has been many active research on cooperative communication which helps in improving the reliability of wireless network. To enhance the spectral and power efficiency, lifetime of the network, and reduce outage probability, cooperative communications with relaying nod...

In this paper, a novel scheme of incorporating a learning mechanism into previous step supervisory controllers for adaptive fuzzy control is proposed to relax bounds required in the control process. In traditional supervisory adaptive fuzzy control approaches, the use of fuzzy estimators for approximating system functions and a robust supervisory control law are necessary to deal with any possi...