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The application of fuzzy analysis method to the evaluation of grain production
2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014Hui Zhao, Qian Li, Li Li, Guanjun Zhang
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Intelligent Modeling and Control of a Conveyor Belt Grain Dryer Using a Simplified Type 2 Neuro-Fuzzy Controller [PDF]
Drying Technology, 2015 In this article, a nonlinear autoregressive with exogenous input (NARX) network was utilized to model a conveyor belt grain dryer using a set of input–output data collected during an experiment to dry paddy grains. The resulting NARX model has achieved a
Hazlina Selamat
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A fuzzy classification routine for fine-grained soils
Quarterly Journal of Engineering Geology and Hydrogeology, 2016Soil classification is one of the most important stages in preliminary studies for design applications in geotechnical engineering. The classification of fine-grained soils is mostly determined using Casagrande's plasticity chart. However, owing to the factors affecting determination of liquid and plastic limits, uncertainties can arise in fine-grained
Toksoz, Derya +3 more
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Classification of rice grains using fuzzy artmap neural network
Asia-Pacific Conference on Circuits and Systems, 2003In this paper, a scaled invariant Zernike moment based feature extractor has been used to extract the relevant information from rice grain images for the purpose of classification. An incremental supervised learning and multidimensional map neural network, called fuzzy artmap (FA), has been proposed to reduce the learning time while maintaining high ...
Chong-Yaw Wee +5 more
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Notice of Retraction: Fuzzy evidential warning of grain security
2010 IEEE International Conference on Advanced Management Science(ICAMS 2010), 2010Grain security warning is very important for decision making of government. How to present a reasonable warning is still an open issue. Due to the uncertainty in the grain security warning process, it is reasonable to construct prediction model under the framework of fuzzy sets theory and Dempster Shafer evidence theory.
null Yong Deng, null Jianling Xu
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FUZZY LOGIC CONTROL FOR A CONTINUOUS CROSSFLOW GRAIN DRYER
Journal of Food Process Engineering, 1993ABSTRACTThis paper presents the assembly and the performance of a fuzzy logic control system in regulating a laboratory continuous crossflow grain dryer. With fuzzy control, similar outlet moisture contents and lower outlet breakage susceptibility of corn were obtained as compared to the manually controlled dryer operation.
QIN ZHANG, J. BRUCE LITCHFIELD
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Knowledge Representation in a Grain Drier Fuzzy Logic Controller
Journal of Agricultural Engineering Research, 1994Abstract This paper describes a method of using governing rules associated with fuzzy membership matrices to represent drier control knowledge in a fuzzy logic controller. The objectives of the controller were to obtain (1) outlet maize moisture content between 15·0 and 16·0% and (2) outlet maize breakage susceptibility as low as possible with a ...
Q. Zhang, J.B. Litchfield
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A Fuzzy Adaptive Algorithm for Fine Grained Cache Paging
2004The performance of page replacement algorithms used by the virtual memory management system and file system of operating systems is important because of the higher disk access latency. The situation complicates further under the limitation of memory.
Susmit Bagchi, Mads Nygaard
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An application of model-based fuzzy control to an industrial grain dryer
Transactions of the Institute of Measurement and Control, 1997Although many fuzzy controller applications have been reported, these have bean exclusively rule-based designs. This paper describes an application of a model-predictive controller, based around a fuzzy relational model, to a grain dryer in a Whisky distillery.
H. Bremner, B.E. Postlethwaite
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Fuzzy neurons: a coarse-grained reconfigurable element for computational intelligence
Engineering Solutions for the Next Millennium. 1999 IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.99TH8411), 2003Computational intelligence techniques are increasingly being employed in real-world applications. Accordingly, much design effort is going into developing customizable modules to meet required hardware/software specifications. We have prototyped a fuzzy neuron as coarse-grained reconfigurable element to be used in such a module.
P.J. Czezowski +3 more
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