نتایج جستجو برای: hybrid intelligent algorithm

تعداد نتایج: 975921  

Journal: :American Journal of Applied Sciences 2008

2015
Ti-Chung Lee

In this paper, we discuss the performance of applying hybrid spiral dynamic bacterial chemotaxis (HSDBC) optimisation algorithm on an intelligent controller for a differential drive robot. A unicycle class of differential drive robot is utilised to serve as a basis application to evaluate the performance of the HSDBC algorithm. A hybrid fuzzy logic controller is developed and implemented for th...

2014
Lakhmissi Cherroun Mohamed Boumehraz

This paper introduces the application of the hybrid approach Adaptive Neuro-Fuzzy Inference System (ANFIS) for fault classification and diagnosis in industrial actuator. The ANFIS can be viewed either as a fuzzy inference system, a neural network or fuzzy neural network (FNN). This paper integrates the learning capabilities of neural network to the robustness of fuzzy systems in the sense that ...

Journal: :CoRR 2011
Bashir Ahmad Shakeel Ahmad Shahid Hussain Muhammad Zaheer Aslam Zafar Abbas

A definition of intelligence is given in terms of performance that can be quantitatively measured. In this study, we have presented a conceptual model of Intelligent Agent System for Automatic Vehicle Checking Agent (VCA). To achieve this goal, we have introduced several kinds of agents that exhibit intelligent features. These are the Management agent, internal agent, External Agent, Watcher ag...

Aida Mohammadinejad Caro Lucas Maziar Ahmad Sharbafi

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 l...

2001
Heidi King Jonathan M. Garibaldi Simon Rogerson

Many medical applications are developed but few are actually utilised in accordance with established procedure in a medical or dental environment. [ l] This paper details the methods being used to create a taxonomy of intelligent systems applications currently in use in medicine and dentistry in order to discover how many applications are actually used. It is intended ultimately to conduct rese...

Journal: :Knowl.-Based Syst. 2013
Lin Wang Qing-Liang Fu Chi-Guhn Lee Yurong Zeng

The joint replenishment problem (JRP) has received considerable attention and all of the work on JRP is under explicit environment. In fact, the decision makers often have to face vague operational conditions. In this paper, a novel JRP model with fuzzy minor replenishment cost and fuzzy inventory holding cost is developed. More concisely, this model is a fuzzy dependent-chance programming (DCP...

2002
Yul Y. Nazaruddin

An alternative approach for intelligent tuning of a control loop will be presented in this paper. The objective is to design an algorithm which will tune the controller employing a neuro-fuzzy based algorithm. Structure and design method based on this approach will be explored, which include an adaptive network employed as building block, the backpropagation gradient method and least square est...

2003
Fahd Albinali Prasad Boddupalli Nigel Davies Adrian Friday

An important problem in intelligent environments is how the system can identify and model users’ activities. This paper describes a new technique for identifying correlations between sensors and activities in an intelligent environment. Intelligent systems can then use these correlations to recognize the activities in a space. The proposed approach is motivated by the need for distinguishing th...

2012
Simone Stumpf Weng-Keen Wong Margaret Burnett Todd Kulesza

Pervasive systems for end users are becoming mainstream yet ways to make them transparent and controllable by users are still in their infancy. In this position paper we describe our work with other kinds of intelligent systems to make them intelligible and adaptable by end users. Our results could hold useful lessons for pervasive systems to better support their use.

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