Conclusions This paper uses a fuzzy linesegment method to calculate the fuzzy unreliability of a system when only discrete-interval probabilities of stress & strength inside an interference region are available. The discrete-interval probabilities are treated as fuzzy numbers. A stress-strength interference model and extended operations of fuzzy numbers are used to calculate the fuzzy unreliabi...

Geo-synthetic materials are being used with acceptable performance in soil and water projects worldwide. Geotextiles are one of the categories of geo-synthetics being used in drainage systems. First generation of geotextiles used in the late 1950’s as an alternative for gravel envelopes. In this research two methods (multiple regression and fuzzy interference system) evaluate to predict synthet...

in this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (anfis) for canceling maternal electrocardiogram (mecg) in fetal electrocardiogram extraction (fecg).this technique is used to estimate the mecg present in the abdominal signal of a pregnant woman. the fecg is then extracted by subtracting the estimated mecg from the abdominal signal. p...

This paper presents an approach to reduction noise of speech voice commanded automatic wheel chair using a technique based on the fuzzy ARTMAP neural network (FAMNN). The measurable output noisy speech with 5dB, 1dB, -1dB, -5dB and -10dB SNR level is obtained as the contaminated signal of the interference to compare with the output data of the filter. The white noise source is acquired as the i...

An intelligent learning-based approach using neural network and fuzzy logic to the problem of interference canceling is proposed in the paper. The famous signal-processing structure of adaptive noise canceling is used for the research of interference signal canceling, in which a neuro-fuzzy system is used as the adaptive notch filter. Four T-S fuzzy rules are in the neuro-fuzzy filter. The filt...

This paper studies a novel intelligent motion control algorithm for Autonomous Underwater Vehicles (AUV) and develops virtual reality system new interactive experimental platform. The designs robust neuro-fuzzy controller to tackle uncertainties external disturbances. Fuzzy can solve the uncertainty problem of systems. neural network model self-tunes parameters improve anti-interference ability...

This work is an attempt to illustrate the usage and effectiveness of soft computing techniques in the estimation and control of multi input and multi output systems. This paper focuses on neuro-fuzzy system ANFIS (Adaptive Neuro Fuzzy Inference system). An Adaptive Network based Fuzzy Interference System architecture extended to cope with multivariable systems has been used. The performance of ...

State of the research about the technology of solar energy with LHTS (Latent Heat Thermal Storage ) at home and abroad was firstly introduced, and a fresh air system with solar energy and LHTS was then introduced. After that the fuzzy control system of fresh air temperature was studied. Firstly, a mathematical model of the fan coil was built as the controlled plant. Then, a fuzzy controller was...

A fuzzy sliding mode control method is proposed to eliminate the interference that suspended floating objects suffered in the on-ground low-gravity simulation system. Due to the change of sling swing-angle that caused by the external interference is weak, the time integral of the sling swing-angle is taken as tracking errors. Meanwhile the values of angle and the angle differential should be co...

Channel equalisers are used in digital communication receivers to mitigate the effects of inter symbol interference (ISI) and inter user interference in the form of co-channel interference (CCI) and adjacent channel interference (ACI) in the presence of additive white Gaussian noise (AWGN). An equaliser uses a large part of the computations involved in the receiver. Linear equalisers based on a...