By combining the fuzzy theory and neural network technology, a fuzzy neural network (FNN) is proposed in this paper, whose learning algorithms are developed by steep algorithm. The excitation system model based on FNN is also derived in this paper, which can be used for on-line and off-line analysis and control respectively. The simulation results demonstrate that the FNN models can give precis...

Aircraft burst fault is uncertainty and ambiguity. Considering QAR data as the research object, the fault diagnosis system based on the T-S fuzzy neural network combined with aircraft maintenance processes is built. First, the system designs the network performance oversight function to improve genetic neural network program. Then the fuzzy logic is used to deal with fuzzy rules, which can dete...

in this study the location routing problem with fuzzy parameters is taken into account, this problem involves determining the location of the depots and routing of the vehicles in order to serve the customers. in this study a location routing problem with fuzzy travel times and due dates is considered and two objective models are proposed. the considered objectives are minimizing the total cost...

Fire alarm system is important in high-rise building. In this paper, a fire alarm system of high-rise building is designed using fuzzy system theory and neural network. The fuzzy system has superiority in inference and the neural network has superiority in learning. The design parameters of the fuzzy system can be adjusted automatically by combining the fuzzy system with the neural network. The...

this paper presents a fuzzy search controller approach along with the look-up tables, to optimize the efficiency of a pump-induction motor drive. the induction motor and the converter are modeled based on thermal loss; and for modeling the pump and the hydraulic system, which are non-linear and relatively complicated, the neural network is used. in the designed system, in order to optimize the ...

need to progress is the factors contributing to development and trying to meet these requirements cause which organization will lead to the development. organizations performance evaluating, is one of the most powerful management tools that we can by that, obtained required information of organization status .in this study, a performance evaluation model based on balanced scorecard (bsc), which...

correct estimation of water inflow into underground excavations can decrease safety risks and associated costs. researchers have proposed different methods to asses this value. it has been proved that water transmissivity of a rock joint is a function of factors, such as normal stress, joint roughness and its size and water pressure therefore, a laboratory setup was proposed to quantitatively m...

these days, limited energy resources, and also the cost of investment in new and renewable energy is very costly and uneconomical. in the industrial sector, especially energy-intensive industries such as steel, finding appropriate solutions to update the technology, production and reduce energy consumption in this sector is very important. the main aim of this study is the identification and ra...

Abstract—Considering the features of magnetic resonance imaging (MRI), a segmentation method of MRI based on fuzzy Gaussian basis neural network (FGBNN) is proposed. In proposed method, the fuzzy inference is realized by neural network. Gaussian basis function is used as fuzzy membership function, and error backpropagation (BP) algorithm is used to train the neural network. The experimental res...

Most of the recent research in the design of fuzzy controllers has been centered on automatic techniques using expert’s input-output data. The majority of these techniques rely on the use of Takagi-Sugeno type controllers and fuzzy-neural-network [3-5,11], fuzzy clustering and fuzzy partition approaches [1,2,6,7]. These controllers, however, are not fully-linguistic and the use of neural-networ...