In this research, the physico-chemical water quality parameters and the effect of climate changes onwater quality is evaluated. During the observation period (5 months) physico-chemical parameterssuch as water temperature, turbidity, saturated oxygen, dissolved oxygen, pH, chlorophyll-a, salinity,conductivity, and concentration of total nitrogen (nutrient level) as main pollutant factor have be...

This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) model for classification of electroencephalogram (EEG) signals. Decision making was performed in two stages: feature extraction using the wavelet transform (WT) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares method. Five types of EEG signals were us...

In the last two decades efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections it is among many advantages applying intelligent transportation systems intersections. However, researchers have not focused on vehicular flow using hybrid algorithms such as adaptive neuro-fuzzy inference optimized by genetic algorithms. t...

Purpose Respiratory motion prediction is a chaotic time series prediction problem. In this study, respiratory motion predictability from 12 traces from breast cancer patients is examined by using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Interval Type-2 Non Singleton Fuzzy System (IT2NSFLS). Methods Free breathing data curves were obtained from Real Time Position Management system (RPM ...

Reliable tool wear monitoring system is one of the important aspects for achieving a self-adjusting manufacturing system. The original contribution of the research is the developed monitoring system that can detect tool breakage in real time by using a combination of neural decision system and ANFIS tool wear estimator. The principal presumption was that force signals contain the most useful in...

Maximum surface settlement (MSS) is an important parameter for the design and operation of earth pressure balance (EPB) shields that should determine before operate tunneling. Artificial intelligence (AI) methods are accepted as a technology that offers an alternative way to tackle highly complex problems that can’t be modeled in mathematics. They can learn from examples and they are able...

The development and constant improvement of accurate predictive models electricity generation from photovoltaic systems provide valuable planning tools for designers, producers, self-consumers. In this research, an adaptive neuro-fuzzy inference model (ANFIS) was developed, which is intelligent hybrid that integrates the ability to learn by itself provided neural networks function language expr...

Reference evapotranspiration (ET 0 ), widely used in efficient and meaningful scheduling of irrigation events, is an essential component agricultural water management strategy for proper utilization limited resources. Accurate early prediction ET can provide the basis designing effective help resourceful agriculture. This study aims to evaluate compare performances different hybridized Adaptive...

This paper proposes a neuro-fuzzy model of superelastic NiTi shape memory alloy (SMA) wires for use in seismic applications. First, in order to collect experimental data, uniaxial tensile tests are conducted on superelastic wires in the temperature range of 0 oC to 40 oC, and at the loading frequencies of 0.05 Hz to 2 Hz with five different strain amplitudes. Then, an adaptive neuro-fuzzy infer...