نتایج جستجو برای: fuzzy inference mechanism

تعداد نتایج: 740982  

2007
Hyun Cheol Cho M. Sami Fadali Jin Woo Lee Young Jin Lee Kwon Soon Lee

Quality of Service (QoS) in the Internet depends on queuing and sophisticated scheduling in routers. In this paper, we address the issue of managing traffic flows with different priorities. In our reference model, incoming packets are first classified based on their priority, placed into different queues with different capacities, and then multiplexed onto one router link. The fuzzy nature of t...

1993
Payman Arabshahi Robert J. Marks Russell Reed

Fuzzy inference has numerous applications, ranging from control to forecasting. A number of researchers have suggested how such systems can be tuned during application to enhance inference performance. Inference parameters that can be tuned include the central tendency and dispersion of the input and output fuzzy membership functions, the rule base, the cardinality of the fuzzy membership funct...

2014
Anju Pratap R. Vijayakumar

Childhood autism is one of the most common developmental disorders in children, whose disabilities generally tend to follow through adulthood. The therapy given to an autistic child depends on its accurate assessment, which is a challenging clinical decision making problem. This paper describes the application of functional fuzzy model in autism assessment support systems. The fuzzy model uses ...

2000
Siripun Thongchai Kazuhiko Kawamura

This paper describes how fuzzy control can be applied to sonar based obstacle avoidance of HelpMate mobile robot. Behavior-based fuzzy control for HelpXlate mobile robot was designed. The design and implementation of fuzzy control system is described. The fuzzy controller provides the mechanism for solving sens(,r data fi'om all sonar sensors which present differ<,.t infl)rmation. Behavior-base...

2011
Huimin Chai Baoshu Wang

A hierarchical fuzzy Bayesian network model for situation assessment is developed in the paper, which includes two layers: the top layer serving as a fusion center, the bottom layer as the continuous data discretization. In this model, Bayesian network (BN) is integrated with the fuzzy theory, which can generalize the continuous variable to fuzzy variable in BN. The fuzzy theory is utilized to ...

2011
Sayantan Mandal Balasubramaniam Jayaram

The term approximate reasoning (AR) refers to methods and methodologies that enable reasoning with imprecise inputs to obtain meaningful outputs. AR schemes involving fuzzy sets are one of the best known applications of fuzzy logic in the wider sense. Fuzzy Inference Systems (FIS) have many degrees of freedom, viz., the underlying fuzzy partition of the input and output spaces, the fuzzy logic ...

The UV-spectrophotometric method of analysis was proposed for simultaneous determination of fluoxetine (FLX) and sertraline (SRT). Considering the strong spectral overlap between UV-Vis spectra of these compounds, a previous separation should be carried out in order to determine them by conventional spectrophotometric techniques. Here, full-spectrum multivariate calibrations adaptive neuro-fuzz...

Ali Vahidian Kamyad, Amir Hooshang Mohammadpour, Mohsen Foroughipour, Somayyeh Lotfi Noghabi,

Introduction: Epilepsy is a clinical syndrome in which seizures have a tendency to recur. Sodium valproate is the most effective drug in the treatment of all types of generalized seizures. Finding the optimal dosage (the lowest effective dose) of sodium valproate is a real challenge to all neurologists. In this study, a new approach based on Adaptive Neuro-Fuzzy Inference System (ANFIS) was pre...

1995
Sathya Rangaswamy Dennis Bahler Ching-Yu Tyan Paul Wang

One of the critisisms of rule-based fuzzy controllers has been their use of only shallow knowledge bases. This shallowness is primarily attributable to the expressiveness of rule-based systems, which is that of the Horn clause subset of rst-order predicate calculus (FOPC). We would argue that the language in which declarative knowledge is represented must be at least as expressive as the full F...

Journal: :Expert Syst. Appl. 2013
Sung-Kwun Oh Sung-Hoon Yoo Witold Pedrycz

In this study, polynomial-based radial basis function neural networks are proposed as one of the functional components of the overall face recognition system. The system consists of the preprocessing and recognition module. The design methodology and resulting procedure of the proposed P-RBF NNs are presented. The structure helps construct a solution to high-dimensional pattern recognition prob...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید