نتایج جستجو برای: neuro fuzzy logic

تعداد نتایج: 232832  

Journal: :International Journal of Electronics Signals and Systems 2011

Journal: :iranian journal of pharmaceutical sciences 0
hamid rza akbari hasanjani azad university, north tehran branch mahmoud reza sohrabi azad university, north tehran branch parviz abdolmaleki tarbiat modares university

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...

2010
Jaesoo Kim Nikola Kasabov

In this paper, an adaptive neuro-fuzzy system, called HyFIS, is proposed to build and optimise fuzzy models. The proposed model introduces the learning power of neural networks into the fuzzy logic systems and provides linguistic meaning to the connectionist architectures. Heuristic fuzzy logic rules and input-output fuzzy membership functions can be optimally tuned from training eramples by a ...

2007
ANKUR KUMAR

The paper proposed the adaptive noise suppression technique for suppression of noise in voice communication. There are different techniques earlier used for adaptive filteration like least mean square, kalman’s filter etc.In the paper we used “fuzzy logic” technique for adaptive filteration. We know about the theory of adptive filteration of noise and application of fuzzy logic. We are using th...

2013
Isha Aggarwal Ajay Kumar Maurya

Abstract— This paper presents Neuro-Fuzzy logic based Power Conditioner for elimination of current harmonic. In it neuro-fuzzy based technique is used for generating compensating current to eliminate/reduce the harmonics content which is generated by the system. The modelling of Fuzzy rule base on Neural Network is also mention in this paper. FFT analysis also has been done for the calculation ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده مهندسی 1389

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

2015
E Engel I V Kovalev

This paper presents an adaptive neuro-controller for intelligent control of non-linear dynamical system. The formed as the fuzzy selective neural net the adaptive neuro-controller on the basе of system’s state, creates the effective control signal under random perturbations. The validity and advantages of the proposed adaptive neuro-controller are demonstrated by numerical simulations. The simu...

2015
Marco Pota Massimo Esposito

Neuro-fuzzy networks revealed their proficiency in learning from data, while offering a transparent and somehow interpretable rule-based model. Recent research focused either on the interpretability of the chosen model or on the system performance. Regarding the interpretability, here an index to control the trade-off between complexity and performance, some insights into fuzzy partitions prope...

2013
Azlin Md Said Mahdi Shahrokhi Ehsan Akhtarkavan Fatemeh Rostami

It is essential to have a uniform and calm flow field for a primary settling tank with high performance. In other words reducing the kinetic energy of the flow inside the settling tank can improve significantly the efficiency of these tanks and give opportunity to particles to settle in the settling zone of the tank. So determination of the velocity magnitude in various positions can be a good ...

2008
Giovanna Castellano Anna Maria Fanelli Paola Plantamura Maria Alessandra Torsello

In this paper, we propose the use of a neuro-fuzzy strategy to develop a Web personalization framework for the dynamic suggestion of URLs retained interesting for the currently connected users. In particular, a hybrid strategy exploiting the combination of the fuzzy logic with the neural paradigm is proposed in order to discover useful knowledge from session data identified from the analysis of...

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