نتایج جستجو برای: adaptive neural fuzzy inference system

تعداد نتایج: 2709767  

2006
CHUNSHIEN LI

An intelligent learning-based approach using neural network and fuzzy logic to the problem of interference canceling is proposed in the paper. The famous signal-processing structure of adaptive noise canceling is used for the research of interference signal canceling, in which a neuro-fuzzy system is used as the adaptive notch filter. Four T-S fuzzy rules are in the neuro-fuzzy filter. The filt...

2015
Salim Lahmiri

This paper compares the accuracy of three hybrid intelligent systems in forecasting ten international stock market indices; namely the CAC40, DAX, FTSE, Hang Seng, KOSPI, NASDAQ, NIKKEI, S&P500, Taiwan stock market price index, and the Canadian TSE. In particular, genetic algorithms (GA) are used to optimize the topology and parameters of the adaptive time delay neural networks (ATNN) and the t...

Journal: :Int. J. Intell. Syst. 1998
Nikola K. Kasabov Robert Kozma

This issue of International Journal of Intelligent Systems includes extended versions of selected papers from the 4th International Conference on Soft Computing, held in Iizuka, Japan, September 30]October 5, 1996. The topic of the special issue is ‘‘Hybrid Intelligent Adaptive Systems.’’ Research on hybrid systems is one of the key issues of developing intelligent systems and it can apply a wi...

2011
A. A. Sattikar R. V. Kulkarni

Online Social Networks have become an important part of daily digital interactions for more than half a billion users around the world. The various personal information sharing practices that online social network providers promote have led to their success as innovative social interaction platforms. At the same time, these practices have raised much critique and concerns with respect to privac...

2016
Ahmed Abdel-Aleem Mahmoud A. El-Sharief Mohsen A. Hassan Mohamed G. El-Sebaie

Most of the earlier studies in the inventory control and management make assumption that the manufacturing system is reliable and does not fail. However, in the real industrial applications, there is no completely reliable manufacturing system; Machine failure occur and the production does not resume before repair. In this paper we will study and analyze the optimal lot size in a real productio...

Journal: :CoRR 2013
Azruddin Ahmad Gobithasan Rudrusamy Rahmat Budiarto Azman Samsudin Sureswaran Ramadass

An enhanced approach for network monitoring is to create a network monitoring tool that has artificial intelligence characteristics. There are a number of approaches available. One such approach is by the use of a combination of rule based, fuzzy logic and neural networks to create a hybrid ANFIS system. Such system will have a dual knowledge database approach. One containing membership functio...

2016
Nadji HADROUG Ahmed HAFAIFA Abdellah KOUZOU Ahmed CHAIBET Houman Hanachi

The main aim of the present paper is the implementation of a fault detection strategy to ensure the fault detection in a gas turbine which is presenting a complex system. This strategy is based on an adaptive hybrid neuro fuzzy inference technique which combines the advantages of both techniques of neuron networks and fuzzy logic, where, the objective is to maintain the desired performance of t...

2001
Ajith Abraham

Neuro-fuzzy computing, which provides efficient information processing capability by devising methodologies and algorithms for modeling uncertainty and imprecise information, forms at this juncture, a key component of soft computing. An integrated neuro-fuzzy system is simply a fuzzy inference system trained by a neural networklearning algorithm. The learning mechanism fine-tunes the underlying...

Fatemeh Deregeh, Hossein Nezmabadi-Pour Milad Karimian,

The late detection of the kick (the entrance of underground fluids into oil wells) leads to oil well blowouts. It causes human life loss and imposes a great deal of expenses on the petroleum industry. This paper presents the application of adaptive neuro-fuzzy inference system designed for an earlier kick detection using measurable drilling parameters. In order to generate the initial fuzzy inf...

Journal: :International Journal of Computer Applications 2015

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