Various diagnostics methods have been applied to machinery condition monitoring and fault diagnosis, with far from satisfactory levels of accuracy. With the development of modern multi-sensor based data acquisition technology often used in advanced signal processing, more and more information is becoming available for the purposes of fault diagnostics and prognostics of machinery integrity. It ...

In this paper, we introduce advanced architectures of genetically-oriented Fuzzy Neural Networks (FNNs) based on fuzzy set and fuzzy relation and discuss a comprehensive design methodology. The proposed FNNs are based on ‘if-then’ rule-based networks with the extended structure of the premise and the consequence parts of the fuzzy rules. We consider two types of the FNNs topologies, called here...

In this study, we introduce an advanced architecture of genetically optimized Hybrid Fuzzy Neural Networks (gHFNN) and develop a comprehensive design methodology supporting their construction. A series of numeric experiments is included to illustrate the performance of the networks. The construction of gHFNN exploits fundamental technologies of Computational Intelligence (CI), namely fuzzy sets...

Fuzzy rule-based systems have shown a high capability of knowledge extraction and representation when modeling complex, nonlinear classification problems. However, they suffer from the so-called curse of dimensionality when applied to high dimensional datasets, which consist of a large number of variables and/or examples. Multiclassification systems have shown to be a good approach to deal with...

The identification of uncertain and nonlinear systems is an important and challenging problem. Fuzzy logic models are often a good choice to describe such systems, however in many cases these become complex soon. Generally, too less effort is put into variable selection and in the creation of suitable local rules. Moreover, in general no model reduction is applied, while this may simplify the m...

In this article, a new type-2 fuzzy-based modeling approach is proposed to assess human operators’ psychophysiological states for both safety and reliability of human–machine interface systems. Such technique combines fuzzy sets with state tracking update the rule base through Bayesian process. These configurations successfully lead an adaptive, robust, transparent computational framework that ...

statement of problem: treatment of gingival recession defect and covering denuded root surfaces is one of the goals in periodontal therapy and several surgical techniques have been suggested in this field.purpose: the aim of this study was to perform a comparison on coronaliy repositioned flap procedure with and without the use of ethylenediaminoteraacetic acid (edta. 24%, ph=7) in the treatmen...

objective: the aim of this study was to investigate prenatal and obstetrical outcome in mothers aged 40 years or older. materials and methods: a prospective comparative study was conducted for the women aged 40 years and over who delivered at 20 week's gestation or beyond from january 2004 to december 2005 at four hospitals of tehran university of medical sciences. for comparison, a control gro...

The PID control algorithm is used for the control of almost all loops in the process industries, and is also the basis for many advanced control algorithms and strategies. For complex systems, controller’s structure and parameters need to rely on experience and on line tuning to determine. Application of soft computing techniques can realize selftuning of controller parameters. In this paper, t...