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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Comprehensive review of load forecasting with emphasis on intelligent computing approaches
Energy Reports, 2022 In this paper, a comprehensive review is presented for mid-term load forecasting. The basic loads and effective factors are studied, and then several classifications are presented for forecasting approaches.
Hong Wang +5 more
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Modelling of a Flexible Manoeuvring System Using ANFIS Techniques [PDF]
, 2010 The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years.
Bin Zaidan, Martha Arbayani +2 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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Optimization of a fuzzy logic controller for MR dampers using an adaptive neuro-fuzzy procedure [PDF]
, 2016 Intelligent and adaptive control systems are naturally suitable to deal with dynamic uncertain systems with non-smooth nonlinearities; they constitute an important advantage over conventional control approaches.
Barros, Rui, Braz-César, M.T.
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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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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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Energy performance forecasting of residential buildings using fuzzy approaches [PDF]
, 2020 The energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has a high negative environmental impact.
Múgica Álvarez, Francisco +1 more
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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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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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