Results 201 to 210 of about 10,723 (231)

Realization of an Improved Adaptive Neuro-Fuzzy Inference System in DSP

2007
Scaled conjugate gradient (SCG) algorithm was used to improve adaptive neuro-fuzzy inference system (ANFIS). It's proved by applications in chaotic time-series prediction that the improved ANFIS converges with less time and fewer iterations than standard ANFIS or ANFIS improved with the Fletcher-Reeves update method.
Xingxing Wu, Xilin Zhu, Xiaomei Li, Haocheng Yu   +3 more
openaire   +1 more source

Hysteresis Modeling with Adaptive Neuro-Fuzzy Inference System

Ferroelectrics, 2008
The accurate characterization and modeling of magnetic material are critical in simulating the performance analysis of electrical circuits incorporating magnetic components. In this study, a new approach for modeling hysteresis loop of ferromagnetic material based on adaptive neuro-fuzzy inference system (ANFIS) was presented.
M. Mordjaoui, M. Chabane, B. Boudjema, R. Daira   +3 more
openaire   +1 more source

Adaptive neuro-fuzzy inference system for modelling and control

Proceedings First International IEEE Symposium Intelligent Systems, 2003
A new approach for an adaptive neuro-fuzzy inference system for modeling and control is proposed. This approach uses a general regression neural network with a different learning capability from the classical clustering algorithm normally used by this specific network.
T.G.B. Amaral, M.M. Crisostomo, V.F. Pires   +2 more
openaire   +1 more source

Neural Networks, Fuzzy Inference Systems and Adaptive-Neuro Fuzzy Inference Systems for Financial Decision Making

2006
This paper employs pattern classification methods for assisting investors in making financial decisions. Specifically, the problem entails the categorization of investment recommendations. Based on the forecasted performance of certain indices, the Stock Quantity Selection Component is to recommend to the investor to purchase stocks, hold the current ...
Pretesh B. Patel, Tshilidzi Marwala
openaire   +1 more source

Extraction of Fetal Electrocardiogram Using Adaptive Neuro-Fuzzy Inference Systems

IEEE Transactions on Biomedical Engineering, 2007
In this paper, we investigate the use of adaptive neuro-fuzzy inference systems (ANFIS) for fetal electrocardiogram (FECG) extraction from two ECG signals recorded at the thoracic and abdominal areas of the mother's skin. The thoracic ECG is assumed to be almost completely maternal (MECG) while the abdominal ECG is considered to be composite as it ...
openaire   +2 more sources

Adaptive Neuro-Fuzzy Inference Systems for Automatic Detection of Breast Cancer

Journal of Medical Systems, 2008
This paper intends to an integrated view of implementing adaptive neuro-fuzzy inference system (ANFIS) for breast cancer detection. The Wisconsin breast cancer database contained records of patients with known diagnosis. The ANFIS classifiers learned how to differentiate a new case in the domain by given a training set of such records.
openaire   +3 more sources

An Adaptive Neuro-Fuzzy Inference System for Diagnosis of Aphasia

2008 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008
Aphasia is a language disability that has several subdivisions such as Anomic, Broca, Global, and Wernicke. Some reasons such as dissension in description of aphasia and its symptoms, large number of test items which are not quite accurate, linguistic ambiguity and uncertainty as well as typical complexities of medical diagnosis cause accurate ...
Sepideh Fazeli, Maryam Naghibolhosseini, Fariba Bahrami   +2 more
openaire   +1 more source

Automatic diagnosis of diabetes using adaptive neuro‐fuzzy inference systems

Expert Systems, 2010
Abstract: A new approach based on an adaptive neuro‐fuzzy inference system (ANFIS) is presented for diagnosis of diabetes diseases. The Pima Indians diabetes data set contains records of patients with known diagnosis. The ANFIS classifiers learn how to differentiate a new case in the domain by being given a training set of such records.
openaire   +2 more sources

Comparative evaluation of adaptive fuzzy inference system and adaptive neuro-fuzzy inference system for mandatory lane changing decisions on freeways

Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2022
Matthew Vechione, Ruey Long Cheu
exaly  

Performance evaluation of adaptive neuro-fuzzy inference system, artificial neural network and response surface methodology in modeling biodiesel synthesis from palm kernel oil by transesterification

Biofuels, 2021
Eriola Betiku, A Bamimore, Babatunde Oladipo   +2 more
exaly