[PDF] Top 20 Application of the Adaptive Neuro Fuzzy Inference System for Optimal Design of Reinforced Concrete Beams

... are fuzzy systems which use ANNs theory in order to determine their membership func- tions and fuzzy rules by processing data ...in neuro-fuzzy development is the adap- tive ... See full document

... determine fuzzy inference parameters and construct an input-output mapping based on some collection of input- output ...the fuzzy rules and establishment the optimal distribution of membership ... See full document

... Almost all mechanical properties of concrete could be estimated by the most important structural property of concrete, CS. Selected mechanical properties of HSC in this study include Splitting Tensile ... See full document

... new application of ANFIS for estimating the optimal dosage of sodium valproate in IGE ...patients. Fuzzy set theory plays an important role in dealing with uncertainty when making decisions in ... See full document

... proposed system first of all we filter out the noise by Noise Adaptive Fuzzy Switching Median Filter (NAFSMF) and then detect Edges using Adaptive Neuro-Fuzzy Inference ... See full document

... II. ADAPTIVE NEUROFUZZY INFERENCE SYSTEM The adaptive neuro fuzzy inference system (ANFIS), first introduced by Jang (1993), is a universal approximator and as such ... See full document

... Forecasting methods are techniques in Statistical tools for decision making. Forecasting approach for time series data can be done using two ways, the linear and non-linear approach. Forecasting methods with linear ... See full document

... Biometrics based technologies are used to deal with security problems and also for identifying individuals in a fast and reliable way through the use of unique biological characteristics. Unlike keys and passwords, ... See full document

... the neuro-fuzzy network and the mixture process is implemented by the fuzzy inference mechanism of the neuro- fuzzy ...The neuro-fuzzy network is a first order ... See full document

... Special insects like ants, termites, and bees that live in a colony are capable o f solving their daily complex life problems. These behaviours which are seen in a special group o f insects are called swarm intelligence. ... See full document

... the neuro- fuzzy model using remote-sensing data and geographic information system for landslide susceptibility analysis in a parts of the Cameron Highlands and the Klang Valley areas in Malaysia are ... See full document

... the neuro-fuzzy model is a result of a hybrid algorithm, a combination of the least squares es- timator and the error back-propagation ...the fuzzy inference ...the fuzzy ... See full document

... compared to the measured data (soil 1, soil 2, and soil 3), with the plowing area equal to the plow width multiplied by the plowing depth. A graphical description of the rules created to map the input data (antecedent) ... See full document

... In this paper, the performance of the hybrid intelligent controllers is compared with conventional PI controller. The simulation results show that the ANFIS controller based soft switching inverter is designed for BLDC ... See full document

... One of the effective SMC methods to control chaotic systems is integral SMC (ISMC) in which proportional integral sliding surface is used to determine general stability for desired equilibrium point. The advantage of ... See full document

... Sugeno fuzzy model with two rules. The entire system architecture consists of five layers, including the fuzzy layer, product layer, normalized layer, de-fuzzy layer, and total output layer ... See full document

... programming optimal lookup table, providing the mapping between input and output ...and fuzzy arithmetic, was first introduced by Nie and Linkens ... See full document

... the Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network models were the most promising methods: They showed satisfactory predictive accuracy in many real-world ...grey ... See full document

... Neural fuzzy models are performing successfully where other methods do ...combined neuro fuzzy classifier is comparatively higher than the individual fuzzy and neural ...of neuro ... See full document

... [3] Adaptive fuzzy inference system is proposed to improve the scalability of adhoc ...networks. Fuzzy network consist of three ...represents fuzzy rules and third layer denotes ... See full document