Modeling of water flow in carbon nanotubes is still a challenge for the classic models of fluid dynamics. In this investigation, an adaptive-network-based fuzzy inference system (ANFIS) is presented to solve this problem. The proposed ANFIS approach can construct an input-output mapping based on both human knowledge in the form of fuzzy if-then rules and stipulated input-output data pairs. Good...

This paper presents a comprehensive study of ANFIS+ARIMA+IT2FLS models for forecasting the weather of Raipur, Chhattisgarh, India. For developing the models, ten year data (2000-2009) comprising daily average temperature (dry-wet), air pressure, and wind-speed etc. have been used. Adaptive Network Based Fuzzy Inference System (ANFIS) and Auto Regressive Moving Average (ARIMA) models based on In...

This paper presents a hybrid adaptive network based fuzzy inference system (ANFIS), computer simulation and time series algorithm to estimate and predict electricity consumption estimation. The difficulty with electricity consumption estimation modeling approach such as time series is the reason for proposing the hybrid approach of this study. The algorithm is ideal for uncertain, ambiguous and...

تأثیر پرتوگیری مزمن بر ساکنین مناطق با پرتوزایی طبیعی بالا در شهر رامسر، استفاده از روش سیتوژنتیک سنجش هستک­های متوقف شده مرحله سیتوکینز و مقایسه­ی نتایج میان دو گروه مورد مطالعه کنترل، بررسی قرار گرفت. نشان داد اختلاف معنی­داری (001/0< P) میانگین فرکانس شمارش لنفوسیت­های خون محیطی (ساکن منطقه­ی بالای رامسر) کنترل تنکابن) وجود دارد. هم­چنین، بعد پرتودهی نمونه­ها، افزایش بیش­تری را هستک­ها نسبت ...

This study investigates the ability of a new hybrid neuro-fuzzy model by combining (ANFIS) approach with marine predators’ algorithm (MPA) in predicting short-term (from 1 h ahead to day ahead) significant wave heights. Data from two stations, Cairns and Palm Beach buoy, were used assessing considered methods. The ANFIS-MPA was compared other methods, ANFIS genetic (ANFIS-GA) particle swarm opt...

The aim of this paper is to propose a procedure for model selection in Adaptive Neuro-Fuzzy Inference System (ANFIS) for time series forecasting. In this paper, we focus on the model selection based on statistical inference of R incremental. The selecting model is conducted by evaluating the inputs, number of membership functions and rules in architecture of ANFIS until the contribution of R2 i...