This is the age of digital systems. Now a days, everything is being computerized. Peoples are using mobile phones, laptop, computer, camera, notebook, pdf reader etc digital systems too much than ever. Use of papers and pen, printed books are decreasing. Rather peoples are using digital means of communication, study, documentation. Optical character recognition is an application of these digita...

Though the hi-tech industry has focused on value innovation and improving the quality of the new product development (NPD) process to drive new product performance, new product success has not changed dramatically over the years. This study presents a novel approach based on structural equation modeling (SEM) and adaptive neuro-fuzzy inference system (ANFIS) to forecast value innovation and the...

This is the age of digital systems. Now a days, everything is being computerized. Peoples are using mobile phones, laptop, computer, camera, notebook, pdf reader etc digital systems too much than ever. Use of papers and pen, printed books are decreasing. Rather peoples are using digital means of communication, study, documentation. Optical character recognition is an application of these digita...

This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead prediction of time series techniques. In this study, the number of available observations and the number of predicted steps are initially determined...

Previous research demonstrated that inferential sensors-based control technology can significantly improve the energy efficiency of space heating systems. However, the performance strongly relies on the accuracy and robustness of the dynamic model upon which the inferential model is built. Traditional methods, such as simplified physical model, adaptive neurofuzzy inferential sensor(ANFIS-) bas...

In the present study, the energetic and economic modeling of lentil and chickpea production in Esfahan province of Iran was conducted using adaptive neuro-fuzzy inference system (ANFIS) and linear regression. Data were taken by interviewing and visiting of 140 lentil farms and 110 chickpea farms during 2014-2015 production period. The results showed that the yield and total energy consumpti...

This paper presents the design of the hybrid PID-ANFIS controller for controlling the speed of the Brushless Direct Current Motor (BLDCM). The objective of this work is to obtain the BLDCM speed controller equipment effectively. The hybrid PID-ANFIS controller is a combination of classical PID controller and ANFIS controller. This method is applied to BLDCM speed controller by simulation and im...

This paper presents a comparative study of the performance of three versions of Adaptive Neuro-Fuzzy Inference System (ANFIS) hybrid model and two innovative hybrid models in the prediction of oil and gas reservoir properties. ANFIS is a hybrid learning algorithm that combines the rule-based inferencing of fuzzy logic and the back-propagation learning procedure of Artificial Neural Networks. Fu...

in this study, application of adaptive neuro-fuzzy inference system (anfis) in forecasting three perspectives (1, 2, and 4 years) ahead of iran’s agricultural products export was compared with arima as the most common econometrics linear forecasting method. for this purpose, iran’s agricultural products export revenues related to 1959-2010, and forecast performance measures such as r2, mad, and...

In this paper we have developed an approach based on Adaptive Neuro Fuzzy Inference System (ANFIS) for measurement of agility in Supply Chain. An Agile Supply Chain (ASC) is frequently considered as a dominant competitive advantage. As complexity and vagueness of agility in global markets must be considered as one of the essential characteristics of an ASC system, we efficiently applied ANFIS i...