Using of artificial intelligence for improving of lautering process productivity (part 1).
Kvasný průmysl, 2000 For control of lautering process firm Kiemann and Technical University Heilbronn have developed and control system Neuro-Fuzzy-Controller, that enables to obtain very good results even under using raw stuffs of different qualities.
F. MIROLL +4 more
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A Data-Driven Approach of Takagi-Sugeno Fuzzy Control of Unknown Nonlinear Systems
Applied Sciences, 2020 A novel approach to build a Takagi-Sugeno (T-S) fuzzy model of an unknown nonlinear system from experimental data is presented in the paper. The neuro-fuzzy models or, more specifically, fuzzy basis function networks (FBFNs) are trained from input–output
Bin Zhang, Yung C. Shin
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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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Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems [PDF]
, 2018 Safe and reliable operation of power plants invariably relies on the structural integrity assessments of pressure vessels and piping systems. Welded joints are a potential source of failure, because of the combination of the variation in mechanical ...
Ahmadzadeh +38 more
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A review of training methods of ANFIS for applications in business and economic [PDF]
, 2016 Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics.
Hussain, Kashif, Mohd Salleh, Mohd Najib
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Evolving Connectionist Systems for Adaptive Learning and Knowledge Discovery: Trends and Directions [PDF]
, 2015 This paper follows the 25 years of development of methods and systems for knowledge-based neural network systems and more specifically the recent evolving connectionist systems (ECOS).
Kasabov, N
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A Comparison among Different Strategies to Detect Potential Unstable Behaviors in Postural Sway
Sensors, 2022 Assistive Technology helps to assess the daily living and safety of frail people, with particular regards to the detection and prevention of falls. In this paper, a comparison is provided among different strategies to analyze postural sway, with the aim ...
Bruno Andò +6 more
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Modeling human behavior in user-adaptive systems: recent advances using soft computing techniques [PDF]
, 2005 Adaptive Hypermedia systems are becoming more important in our everyday activities and users are expecting more intelligent services from them. The key element of a generic adaptive hypermedia system is the user model.
Chen, S. +3 more
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IEEE AccessAdaptive cruise control is a system that maintains an appropriate distance from vehicles ahead while driving. Although Adaptive cruise control systems operate stably on flat roads, they can become unstable on sloped roads. This study presents a method to
Kang-Hyeon Choi, Hyuk-Jun Chang
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Machine Health Condition using Multi data based on Neuro-Fuzzy system [PDF]
Warasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham, 2019 This paper reports the development of hybrid monitoring and analysis software for those who are interested in hybrid analysis. When the machines were operating, the situations that made motor current, vibration and oil could demonstrate the ...
Hataitep Wongsuwarn
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