نتایج جستجو برای: web reinforcement

تعداد نتایج: 258367  

Journal: :journal of computer and robotics 0
maziar ahmad sharbafi university of tehran caro lucas university of tehran aida mohammadinejad khaje nasir toosi university

in this paper, an intelligent controller is applied to control omni-directional robots motion. first, the dynamics of the three wheel robots, as a nonlinear plant with considerable uncertainties, is identified using an efficient algorithm of training, named lolimot. then, an intelligent controller based on brain emotional learning algorithm is applied to the identified model. this emotional lea...

2012
Adom-Asamoah Mark Afrifa Owusu Russell

This study aims at exploring ways of making the use of bamboo reinforced concrete beams simple, efficient and cost-effective for rural construction with Ghana as a case study. It is a comparative study of bamboo reinforced concrete beams with shear links made of different materials. The web materials considered were bamboo, rattan cane and steel. Sixteen (16) beams were tested to failure under ...

Journal: :J. Artif. Intell. Res. 2011
Mahdi Milani Fard Joelle Pineau

Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making problems in such environments. In recent years, attempts were made to apply methods from reinforcement learning to construct decision support systems for action selection in Markovian environments. Although conventional meth...

Journal: :Fibers 2021

This study investigates the possibility of replacing minimum web reinforcement in deep beams with discrete fibers. Additionally, equivalent dosage fibers required to obtain similar performance beam is investigated. Deep made plain concrete no fibers, as per AASHTO LFRD recommendations (0.3% both horizontal and vertical), a 0.5% volume fraction steel, macro-synthetic hybrid are tested at shear s...

Journal: :CoRR 2018
Per-Arne Andersen Morten Goodwin Olsen Ole-Christoffer Granmo

Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential in among others successfully playing computer games. However, there only exists a few game platforms that provide diversity in tasks and statespace needed to advance RL algorithms. The existing platforms offer RL access to Atariand a few web-based games, but no platf...

Journal: :Web Intelligence and Agent Systems 2009
Ali Mohammad Zareh Bidoki Nasser Yazdani Pedram Ghodsnia

The web is a huge and highly dynamic environment which is growing exponentially in content and developing fast in structure. No search engine can cover the whole web, thus it has to focus on the most valuable pages for crawling. So an efficient crawling algorithm for retrieving the most important pages remains a challenging issue. Several algorithms like PageRank and OPIC have been proposed. Un...

Journal: :Journal of diabetes science and technology 2007
Linda Lockett Brown Mia Liza A Lustria Jenice Rankins

Current endeavors in diabetes care focus on helping patients and providers deal successfully with the complexities of the disease by improving the system of care, expanding the reach of interventions, and empowering patients to engage in self-care behaviors. Internet technologies that combine the broad reach of mass media with the interactive capabilities of interpersonal media provide a wide r...

2016
A. Khajeh S. R. Mousavi M. Rakhshani Mehr

Article history: Received: 27 June 2015 Accepted: 25 August 2015 A reinforced concrete member in which the total span or shear span is especially small in relation to its depth is called a deep beam. In this study, a new approach based on the Adaptive Neural Fuzzy Inference System (ANFIS) is used to predict the shear strength of reinforced concrete (RC) deep beams. A constitutive relationship w...

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