نتایج جستجو برای: adaptive neuro fuzzy inference system anfis

تعداد نتایج: 2507662  

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
S. AFRANG M. DANESHWAR

This paper presents a new general purpose neuro-fuzzy controller to realize adaptive-network-based fuzzy inference system (ANFIS) architecture. ANFIS which tunes the fuzzy inference system with a back propagation algorithm based on collection of input-output data makes fuzzy system to learn. To implementing this idea we propose several improved CMOS analog circuits, including Gaussian-like memb...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید باهنر کرمان 1389

عملیات هیدروگرافی برای تمام طول یک رودخانه، کاری پرهزینه و وقت گیر می باشد. در این پژوهش از قابلیت سیستم نرو فازی (adaptive neuro-fuzzy inference system (anfis) ) برای پیش بینی موقعیت مسطحاتی خط القعر رودخانه brazos در تکزاس استفاده شده است. عمق خط القعر با استفاده از روابط هندسه هیدرولیکی محاسبه می شود. داده های استفاده شده در این مقاله، از تحقیق ارائه شده در سال 2004 توسط merwade، برای رودخ...

2013
Rajpal Singh Bhoopal Ramvir Singh Pradeep Kumar Sharma

In the present study, the adaptive neuro-fuzzy inference system (ANFIS) is developed for the prediction of effective thermal conductivity (ETC) of different fillers filled in polymer matrixes. The ANFIS uses a hybrid learning algorithm. The ANFIS is a class of adaptive networks that is functionally equivalent to fuzzy inference systems (FIS). The ANFIS is based on neuro-fuzzy model, trained wit...

2016
Dr.B.B.M.Krishna Kanth

In this paper we presented an architecture and basic learning process underlying in fuzzy inference system and adaptive neuro fuzzy inference system which is a hybrid network implemented in framework of adaptive network. In real world computing environment, soft computing techniques including neural network, fuzzy logic algorithms have been widely used to derive an actual decision using given i...

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

Journal: :journal of physical & theoretical chemistry 2015
jalal javadi moghaddam mostafa mirzaei masood madani mohammadreza norouzi atena khodarahmi

in this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (anfsga) controlsystem is proposed for a ph neutralization system. in ph reactors, determination and control of ph isa common problem concerning chemical-based industrial processes due to the non-linearity observedin the titration curve. an anfsga control system is designed to overcome the complexity of precisecontrol o...

2014
Savita Goswami Abhishek Kumar Gaur

Weather prediction is an ever challenging area of investigation for scientists. The Adaptive Neuro-Fuzzy Inference System (ANFIS) has been widely used for modeling different kinds of nonlinear systems including rainfall forecasting. Adaptive Neuro-Fuzzy Inference Systems (ANFIS) combines the capabilities of Artificial Neural Networks (ANN) and Fuzzy Inference Systems (FIS) to solve different ki...

Journal: :International Journal of Computer Applications 2015

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