A kind of intelligent control system based on fuzzy neural network optimized and trained by the adaptive ant colony optimization algorithm was proposed and constructed in this paper. The structure and the parameters of this intelligent control system were introduced. This intelligent control system used as joint servo controller is applied to the simulation research of robot control. Simulation...

Distributed flexible AC- transmission system (D-FACTS) is a recently advanced FACTS device with high flexibility and smaller size. The DPFC can control power flow in transmission lines, regulate bus voltages and it can also enhance stability margin in power grids. Adaptive-neural network-based fuzzy inference system (ANFIS) combines features of artificial neural network and fuzzy controller. Th...

today, stock investment has become an important mean of national finance. apparently, it is significant for investors to estimate the stock price and select the trading chance accurately in advance, which will bring high return to stockholders. in the past, long-term trading processes and many technical analysis methods for stock market were put forward. however, stock market is a nonlinear sys...

The AC-excited hydrogenerator (ACEH) is a novel type of hydraulic generation system. Concern about its integrative control strategy is increasing, owing to the features of uncertain and nonlinear as well as parameters coupling and time-variation for three parts of water flux, hydroturbine and generator. A cascade-connected self-adaptive fuzzy-neural network control strategy is proposed, which t...

Currently, most peer-to-peer (P2P) systems are designed for file sharing by network participants. Simple meta-data search mechanism will be sufficient to support searching and retrieving shared files over P2P networks. However, to share document information such as news articles, scientific publications, company reports, etc., a content-based search mechanism is needed to provide efficient cont...

a reinforced concrete member in which the total span or shear span is especially small in relation to its depth is called a deep beam. in this study, a new approach based on the adaptive neural fuzzy inference system (anfis) is used to predict the shear strength of reinforced concrete (rc) deep beams. a constitutive relationship was obtained correlating the ultimate load with seven mechanical a...

The aim of this paper was to present an optimized method in order to use maximum capacity of the photovoltaic panels. In this regard, we presented a method for the maximum power point tracking in the photovoltaic systems by using the neural networks and adaptive controller. In the proposed system, we estimated an error by using neural network. If this error is lower than the allowable systems e...

This paper presents a fuzzy neural network approach to virtual product design. Contemporary design process requires the development of a new computational intelligent methodology that involves intelligent integration of design, analysis and evaluation, simulation and optimization in a virtual environment. In the paper, a soft-computing framework is developed for engineering design based on a hy...

in the present work, the influences of temperature, solvent concentration and ultrasonic irradiation time were numerically analyzed on viscosity reduction of residue fuel oil (rfo). ultrasonic irradiation was applied at power of 280 w and low frequency of 24 khz. the main feature of this research is prediction and optimization of the kinematic viscosity data. the measured results of eighty-four...