نتایج جستجو برای: neuro fuzzy modeling

تعداد نتایج: 487846  

2007
WEI XIA LUIZ FERNANDO CAPRETZ DANNY HO

Function Points is an important and well-accepted software size metric. However, it is absolutely essential to accurately calibrate Function Point (FP), whose aims are to fit specific software application, to reflect software industry trend, and to improve cost estimation. Neuro-Fuzzy is a technique that incorporates the learning ability from neural network and the ability to capture human know...

2010
Harish Ch. Das Dayal R. Parhi

This paper addresses the fault detection of a cracked cantilever beam using a hybrid artificial intelligence technique. The hybrid technique used here uses a fuzzy-neuro controller. The fuzzy-neuro controller has two parts. The first part is comprised of the fuzzy controller, and the second part is comprised of the neural controller. The input parameters of the fuzzy controller are relative dev...

Journal: :European Journal of Electrical Engineering 2022

A photovoltaic (PV) panel produces energy that is influenced by external factors including temperature, irradiation, and the fluctuations in load related to it. The PV system should perform at maximum power point (MPP) order adjust towards rapidly increasing interest energy. Because of changing climatic conditions, it becomes has a limited efficiency. In maximize system's efficiency, technique ...

Journal: :Journal of Advanced Mechanical Design, Systems, and Manufacturing 2008

2013
Hitesh Shah Shiv Nadar

The synergy of the two paradigms, neural network and fuzzy inference system, has given rise to rapidly emerging filed, neuro-fuzzy systems. Evolving neuro-fuzzy systems are intended to use online learning to extract knowledge from data and perform a high-level adaptation of the network structure. We explore the potential of evolving neuro-fuzzy systems in reinforcement learning (RL) application...

Journal: :مدیریت صنعتی 0
محمود مرادی استادیار گروه مدیریت صنعتی، دانشگاه گیلان، رشت، ایران بهناز زنجانی کارشناسی ارشد مدیریت صنعتی، دانشگاه گیلان، رشت، ایران علی جمالی استادیار گروه مهندسی مکانیک، دانشگاه گیلان، رشت، ایران

using current employee performance data to predict the future behavior of the applicants is an interesting area which can broaden new horizons of knowledge lay in the organization. because of inherent ambiguity and uncertainty, cognitive limitations of the human mind make unknown behaviors of very complex systems difficult to predict. as a consequence, it is necessary to model the imprecise mod...

2006
D. Stathakis I. Savin T. Nègre

The purpose of this paper is to explore the dynamics of neural networks in forecasting crop (wheat) yield using remote sensing and other data. We use the Adaptive Neuro-Fuzzy Inference System (ANFIS). The input to ANFIS are several parameters derived from the crop growth simulation model (CGMS) including soil moisture content, above ground biomass, and storage organs biomass. In addition we use...

Journal: :Int. J. Fuzzy Logic and Intelligent Systems 2009
Geun-Hyung Lee Seul Jung

Abstract This paper presents implementation of the adaptive neuro-fuzzy control method. Control performance of the adaptive neuro-fuzzy control method for a popular inverted pendulum system is evaluated. The inverted pendulum system is designed and built as an education kit for educational purpose for engineering students. The educational kit is specially used for intelligent control education....

2005
Rahib Hidayat Abiyev

This paper presents the development of recurrent neural network based fuzzy inference system for identification and control of dynamic nonlinear plant. The structure and algorithms of fuzzy system based on recurrent neural network are described. To train unknown parameters of the system the supervised learning algorithm is used. As a result of learning, the rules of neuro-fuzzy system are forme...

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