[PDF][PDF] Decision making on noisy time-series data under a neuro-genetic fuzzy rule-based system approach
A Tsakonas, G Dounias - Proc. of 7th UK Workshop on Fuzzy …, 2000 - researchgate.net
This paper reflects our study on the efficiency and the characteristics of a fuzzy rulebased
system when used for forecasting in noisy data such as stock market returns for daily …
system when used for forecasting in noisy data such as stock market returns for daily …
Learning Automata based Set-point weighted parameter for unstable systems
L Musmade, M Chidambaram - IFAC Proceedings Volumes, 2014 - Elsevier
A simple method using Learning Automata is given for selection of the set point weighting
parameter (b) in PI controllers for unstable first-order plus time delay systems. The …
parameter (b) in PI controllers for unstable first-order plus time delay systems. The …
A trust model for service selection, using learning automata-based approach
A Khoshkbarchi, HR Shahriari… - 7'th International …, 2014 - ieeexplore.ieee.org
Service-oriented environments comprise a number of interconnected service providers and
service consumers and are filled by vast numbers of services of various functionalities with …
service consumers and are filled by vast numbers of services of various functionalities with …
Comparison of two novel heuristic dynamic channel allocation techniques in cellular systems
HG Sandalidis, PP Stavroulakis… - International Journal …, 1998 - Wiley Online Library
Dynamic channel assignment (DCA) has been discussed in the literature as a way to
achieve improved resource management in cellular networks. In the simplest dynamic …
achieve improved resource management in cellular networks. In the simplest dynamic …
Reduction of uncertainties in neural network prediction of oil well logs
J Barhen - Proceedings of the 2002 International Joint …, 2002 - ieeexplore.ieee.org
The ability to accurately predict the location of remaining oil in the neighborhood of existing
production wells is of vital economic importance to the petroleum industry. A methodology to …
production wells is of vital economic importance to the petroleum industry. A methodology to …
Supporting qos in wireless sensor networks using cellular learning automata
SII Alsowaidi - 2022 - openaccess.altinbas.edu.tr
Some of quality-of-service (QoS) parameters for wireless sensor networks are network
coverage, optimal number of active nodes, lifetime and the amount of consumed energy. In …
coverage, optimal number of active nodes, lifetime and the amount of consumed energy. In …
Traffic balancing via smart packets
The World Wide Web (WWW) has caught people's attention since its inception and today is a
major source of traffic in the Internet. WWW traffic is typically asymmetric: servers receive …
major source of traffic in the Internet. WWW traffic is typically asymmetric: servers receive …
Direct MRAC with dynamically constructed neural controllers
Research in neural control mostly concentrates on indirect control schemes while insufficient
attention has been paid to direct model reference adaptive control (MRAC) scheme. In …
attention has been paid to direct model reference adaptive control (MRAC) scheme. In …
A neurogenetic model of muscle EMG to torque
L Kent - IJCNN'99. International Joint Conference on Neural …, 1999 - ieeexplore.ieee.org
The major problems of neural network applications include optimizing architecture selection
and network parameter selection. In this study, a neurogenetic model of muscle EMG to …
and network parameter selection. In this study, a neurogenetic model of muscle EMG to …
Coherent control calculations for helium atom in short and intensive XUV laser pulses
IF Barna - The European Physical Journal D-Atomic, Molecular …, 2005 - Springer
Coherent control calculations are presented for helium. With the help of a genetic algorithm
(GA) phase-modulated extreme ultra violet (XUV) laser pulses were controlled to maximize …
(GA) phase-modulated extreme ultra violet (XUV) laser pulses were controlled to maximize …