Search Results - subject:"Adaptive Neuro Fuzzy Inference System"

Prediction the Groundwater Level of Bastam Plain (Iran) by Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS)

Emamgholizadeh, Samad; Moslemi, Khadije; Karami, … - In: Water Resources Management 28 (2014) 15, pp. 5433-5446

Neuro-Fuzzy Inference System (ANFIS) in the forecasting of the groundwater level of Bastam Plain in Iran. For this purpose … management. This study investigates the potential of two intelligence models namely, Artificial Neural Network (ANN) and Adaptive …

Persistent link: https://www.econbiz.de/10011151764

An evolutionary-based adaptive neuro-fuzzy inference system for intelligent short-term load forecasting

Kazemi, S. M. R.; Hoseini, Mir Meisam Seied; … - In: International transactions in operational research : … 21 (2014) 2, pp. 311-326

Persistent link: https://www.econbiz.de/10010256672

Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns

Kim, Sungwon; Shiri, Jalal; Kisi, Ozgur; Singh, Vijay - In: Water Resources Management 27 (2013) 7, pp. 2267-2286

perceptron-neural networks model (MLP-NNM), generalized regression neural networks model (GRNNM), and adaptive neuro-fuzzy … inference system (ANFIS). Daily PE was estimated at Daegu and Ulsan stations using temperature-based, radiation-based, sunshine …

Persistent link: https://www.econbiz.de/10010794773

Examination of Relationship Between Stock Returns and Factors Affecting Capital Structure and Financial Ratios with ANFIS Method: An Application on ISE 100 Index

Yoruk, Nevin; Karaca, S. Serdar; Hekim, Mahmut; Tuna, … - In: Anadolu University Journal of Social Sciences 13 (2013) 2, pp. 101-114

In this study, the stock return rate of the company shares was estimated by means of the adaptive neuro-fuzzy inference … system (ANFIS). For this aim, the data of financial ratios prepared for the input and output variables of the ANFIS was …

Persistent link: https://www.econbiz.de/10010676197

The nonlinear effect of green innovation on the corporate competitive advantage

Chen, Yu-Shan; Chang, Ke-Chiun - In: Quality & Quantity: International Journal of Methodology 47 (2013) 1, pp. 271-286

This study uses Adaptive Neuro-Fuzzy Inference System (ANFIS) to explore the nonlinear relationships between green …

Persistent link: https://www.econbiz.de/10010634200

Estimation of Daily Pan Evaporation Using Two Different Adaptive Neuro-Fuzzy Computing Techniques

Sanikhani, Hadi; Kisi, Ozgur; Nikpour, Mohammad; … - In: Water Resources Management 26 (2012) 15, pp. 4347-4365

This paper investigates the ability of two different adaptive neuro-fuzzy inference systems (ANFIS) including grid partitioning (GP) and subtractive clustering (SC), in modeling daily pan evaporation (E<Subscript>pan</Subscript>). The daily climatic variables, air temperature, wind speed, solar radiation and relative...</subscript>

Persistent link: https://www.econbiz.de/10010997767

RFID tag localization by using adaptive neuro‐fuzzy inference for mobile robot applications

Cicirelli, Grazia; Milella, Annalisa; Di Paola, Donato - In: Industrial Robot: An International Journal 39 (2012) 4, pp. 340-348

Purpose – The purpose of this paper is to address the use of passive RFID technology for the development of an autonomous surveillance robot. Passive RFID tags can be used for labelling both valued objects and goal‐positions that the robot has to reach in order to inspect the surroundings....

Persistent link: https://www.econbiz.de/10014832153

A new strategy for predicting short-term wind speed using soft computing models

Haque, Ashraf U.; Mandal, Paras; Kaye, Mary E.; Meng, Julian - In: Renewable and Sustainable Energy Reviews 16 (2012) 7, pp. 4563-4573

), a radial basis function neural network (RBFNN), and an adaptive neuro-fuzzy inference system (ANFIS). The forecasting …

Persistent link: https://www.econbiz.de/10010664557

Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy

Rajkumar, R.K.; Ramachandaramurthy, V.K.; Yong, B.L.; … - In: Energy 36 (2011) 8, pp. 5148-5153

paper uses the ANFIS (Adaptive Neuro-Fuzzy Inference System) to model the PV and wind sources. The algorithm developed is …

Persistent link: https://www.econbiz.de/10010810182

Comparison of Recurrent Neural Network, Adaptive Neuro-Fuzzy Inference System and Stochastic Models in Eğirdir Lake Level Forecasting

Güldal, Veysel; Tongal, Hakan - In: Water Resources Management 24 (2010) 1, pp. 105-128

Accurate prediction of lake-level changes is a very important problem for a wise and sustainable use. In recent years significant lake level fluctuations have occurred and can be related to the climatic change. Such a problem is crucial to the works and decisions related to the water resources...

Persistent link: https://www.econbiz.de/10010997376