Results 21 to 30 of about 53,858 (257)
Diagnosis and decision-making for awareness during general anaesthesia [PDF]
, 1998 This is the post-print version of the article. The official published version can be obtained from the link below.We describe the design process of a diagnostic system for monitoring the anaesthetic state of patients during surgical interventions under ...
Abbod, MF, Backory, JK, Linkens, DA
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Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis [PDF]
, 2005 In this paper, a neural network implementation for a fuzzy logic-based model of the diagnostic process is proposed as a means to achieve accurate student diagnosis and updates of the student model in Intelligent Learning Environments.
Grigoriadou, M. +3 more
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Aplikasi Model Wavelet Neuro Fuzzy Untuk Memprediksi Banjir Sungai Bengawan Solo
Numerical: Jurnal Matematika dan Pendidikan Matematika, 2018 The objectives of this research is to implementation wavelet neuro fuzzy method to predict water level of Bengawan Solo river. The wavelet neuro fuzzy method is a model combination between discrete wavelet transformation, Artificial Neural Network (ANN ...
Nurmalitasari Nurmalitasari +1 more
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Classification of masses in digital mammograms using Biogeography-based optimization technique
Journal of King Saud University: Computer and Information Sciences, 2020 Breast cancer is a leading cause of death in women in both developed and developing countries. Design and development of computer-based systems can assist radiologists in the effective treatment of breast cancer.
Shankar Thawkar, Ranjana Ingolikar
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Adaptive neuro-fuzzy controller of switched reluctance motor [PDF]
Serbian Journal of Electrical Engineering, 2007 This paper presents an application of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks.
Tahour Ahmed +2 more
doaj +1 more source
A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting
Data, 2019 Neuro-fuzzy models have a proven record of successful application in finance. Forecasting future values is a crucial element of successful decision making in trading.
Alexander Vlasenko +4 more
doaj +1 more source
Neuro-fuzzy control of sit-to-stand motion using head position tracking
Measurement + Control, 2020 Based on the clinical evidence that head position measured by the multisensory system contributes to motion control, this study suggests a biomechanical human-central nervous system modeling and control framework for sit-to-stand motion synthesis ...
Samina Rafique +3 more
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A Hybrid Neuro-Fuzzy Element: A New Structural Node for Evolving Neuro-Fuzzy Systems [PDF]
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP), 2018 A modification of the structure for a neurofuzzy unit was offered which is generally a hybrid system that combines nonlinear synapses and an activation function to form the hybrid system's output value. The introduced neurofuzzy element is specifically an extension of the common neo-fuzzy neuron which is upgraded at the expense of application of an ...
Zhengbing Hu, Oleksii K. Tyshchenko
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A Survey on Applications of Neuro-Fuzzy Models [PDF]
2020 IEEE 10th International Conference on Intelligent Systems (IS), 2020 Artificial intelligence techniques such as neuro-fuzzy have been successfully applied in a wide variety of uses to be mentioned as economics, engineering, social science, and business. In order to show the implementations of neuro-fuzzy in engineering the most recent researches in the area of neuro-fuzzy are covered in this paper.
Raheleh Jafari +3 more
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Study the Robustness of Automatic Voltage Regulator for Synchronous Generator Based on Neuro-Fuzzy Network [PDF]
Engineering and Technology Journal, 2015 Modern power systems are complex and non-linear and their operating conditions can vary over a wide range, and since neuro - fuzzy networkcan be used as intelligent controllers to control non-linear dynamic systems through learning, which can easily ...
Abdulrahim Thiab Humod +1 more
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