نتایج جستجو برای: nero adaptive control

تعداد نتایج: 1491067  

2011
K. P. Rajesh K. S. Ramaswami

Problem statement: As the Variable Bit Rate (VBR) is high in MPEG, the video experienced long delay and unexpected data loss. In wireless channel, due to noise and interference of other signals transmission rate cannot be predicted. Approach: In this paper we proposed an intelligent fuzzy logic controller for transmission of Moving Picture Expert Group (MPEG-4) video signals over wireless chann...

2012
João D. Ferreira Catia Pesquita Francisco M. Couto Mário J. Silva

Epidemiology is a domain of knowledge interconnected with many other domains, thus making it a good candidate for reusing existing ontologies that, despite having been created for different purposes, characterize information frequently manipulated by epidemiologists and public health scientists. This paper presents an evaluation of existing ontologies for the semantic annotation of epidemiologi...

Journal: :iranian journal of oil & gas science and technology 2013
karim salahshoor behnam lotfi

control of well drilling operations poses a challenging issue to be tackled. the loss of well control could lead to the occurrence of blowout as a severe threat, involving the risk of human lives and environmental and economic consequences. conventional proportional-integral (pi) controller is a common practice in the well control operation. the small existing margin between pore pressure and f...

2006
Kenneth O. Stanley Igor Karpov Risto Miikkulainen Aliza Gold

In the NeuroEvolving Robotic Operatives (NERO) game, the player trains a team of virtual robots for combat against other players’ teams. The virtual robots learn in real time through interacting with the player. Since NERO was originally released in June, 2005, it has been downloaded over 50,000 times, appeared on Slashdot, and won several honors. A significant update was released in November, ...

2005
Kenneth O. Stanley Ryan Cornelius Risto Miikkulainen

If game characters could learn through interacting with the player, behavior could improve as the game is played, keeping it interesting. The real-time NeuroEvolution of Augmenting Topologies (rtNEAT) method, which can evolve increasingly complex artificial neural networks in real time as a game is being played, will be presented. The rtNEAT method makes possible an entirely new genre of video ...

2006
Kenneth O. Stanley Igor Karpov Risto Miikkulainen Aliza Gold

In the NeuroEvolving Robotic Operatives (NERO) video game, the player trains a team of virtual robots for combat against other players’ teams. The virtual robots learn in real time through interacting with the player. Since NERO was originally released in June, 2005, it has been downloaded over 50,000 times, appeared on Slashdot, and won several honors. The realtime NeuroEvolution of Augmenting...

Journal: :Antik Tanulmányok 2019

Journal: :journal of computer and robotics 0
hengameh mahdavi faculty of computer and information technology engineering, qazvin branch, islamic azad university, qazvin, iran

prediction, diagnosis, recovery and recurrence of the breast cancer among the patients are always one of the most important challenges for explorers and scientists. nowadays by using of the bioinformatics sciences, these challenges can be eliminated by using of the previous information of patients records. in this paper has been used adaptive nero fuzzy inference system and data mining techniqu...

Journal: :journal of applied and computational mechanics 2014
abbas ajorkar alireza fazlyab farhad fani saberi mansour kabganian

in this paper, an adaptive attitude control algorithm is developed based on neural network for a satellite using four reaction wheels in a tetrahedron configuration. then, an attitude control based on feedback linearization control has been designed and uncertainties in the moment of inertia matrix and disturbances torque have been considered. in order to eliminate the effect of these uncertain...

Journal: :Hommes & migrations 2016

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