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Original Articles

Neural network-based approximate reasoning: principles and implementation

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Pages 399-413 | Received 20 Feb 1992, Published online: 27 Mar 2007

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JUNHONG NIE & D. A. LINKENS. (1994) Fast self-learning multivariable fuzzy controllers constructed from a modified CPN network. International Journal of Control 60:3, pages 369-393.
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JUNHONG NIE & D. A. LINKENS. (1994) A hybrid neural-network-based self-organizing controller. International Journal of Control 60:2, pages 197-222.
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D. A. LINKENS & JUNHONG NIE. (1994) Back-propagation neural-network based fuzzy controller with a self-learning teacher. International Journal of Control 60:1, pages 17-39.
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Articles from other publishers (21)

Zhuo Liu, Mahmoud Al-Sarayreh, Yanjie Li & Zhilin Yuan. (2023) Classification of tree symbiotic fungi based on hyperspectral imagery and hybrid convolutional neural networks. Frontiers in Forests and Global Change 6.
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Yanbo Huang & Qin ZhangYanbo Huang & Qin Zhang. 2021. Agricultural Cybernetics. Agricultural Cybernetics 75 130 .
Archana Kumari, Minu Kesheri, Rajeshwar P. Sinha & Swarna Kanchan. 2018. Soft Computing for Biological Systems. Soft Computing for Biological Systems 265 281 .
Duong Dang Khoi & Yuji Murayama. 2012. Progress in Geospatial Analysis. Progress in Geospatial Analysis 125 141 .
Yanbo Huang, Yubin Lan, Steven J. Thomson, Alex Fang, Wesley C. Hoffmann & Ronald E. Lacey. (2010) Development of soft computing and applications in agricultural and biological engineering. Computers and Electronics in Agriculture 71:2, pages 107-127.
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Yanbo Huang. (2009) Advances in Artificial Neural Networks – Methodological Development and Application. Algorithms 2:3, pages 973-1007.
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Petros C. Vythoulkas & Haris N. Koutsopoulos. (2003) Modeling discrete choice behavior using concepts from fuzzy set theory, approximate reasoning and neural networks. Transportation Research Part C: Emerging Technologies 11:1, pages 51-73.
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Liam P. Maguire, T. Martin McGinnity & Brendan P. Glackin. 2002. Advances in Computational Intelligence and Learning. Advances in Computational Intelligence and Learning 147 158 .
David G. Mason & Neal D. Edwards. 2000. Fuzzy Systems in Medicine. Fuzzy Systems in Medicine 484 502 .
Raouf Veliev, Alex Rubinov & Andrew Stranieri. 1999. Advanced Topics in Artificial Intelligence. Advanced Topics in Artificial Intelligence 60 71 .
Junhong Nie, T.H. Lee & D.A. Linkens. (1997) A note on the integration of fuzzy systems with neural networks under a TLTT framework. Fuzzy Sets and Systems 87:3, pages 277-289.
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Chih-Hsin Tsai, Jing-Sin Liu, Kuo-Bin Tseng & Wei-Song Lin. (1997) A stable neuro-fuzzy controller for output tracking in composite nonlinear systems. A stable neuro-fuzzy controller for output tracking in composite nonlinear systems.
Liam P. Maguire, T. Martin McGinnity & Liam J. McDaid. 1997. Intelligent Hybrid Systems. Intelligent Hybrid Systems 35 58 .
Chien-Hui Lee & Sheng-De Wang. (1996) A self-organizing adaptive fuzzy controller. Fuzzy Sets and Systems 80:3, pages 295-313.
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Junhong Nie, A.P. Loh & C.C. Hang. (1996) Modeling pH neutralization processes using fuzzy-neural approaches. Fuzzy Sets and Systems 78:1, pages 5-22.
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Junhong Nie & D.A. Linkens. (1994) FCMAC: A fuzzified cerebellar model articulation controller with self-organizing capacity. Automatica 30:4, pages 655-664.
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Derek A. Linkens & Junhong Nie. (1994) Fuzzy-Neural Control with Application to Biomedicine. IFAC Proceedings Volumes 27:1, pages 9-14.
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E. Teixeira, G. Laforga & H. Azevedo. (1994) The use of neuro-fuzzy networks in the control of nonlinear systems. The use of neuro-fuzzy networks in the control of nonlinear systems.
Teixeira, Laforga & Azevedo. (1994) A performance analysis of various neuro-fuzzy approaches for controlling nonlinear systems. A performance analysis of various neuro-fuzzy approaches for controlling nonlinear systems.
J. Nie & D.A. Linkens. (1993) A fuzzified CMAC self-learning controller. A fuzzified CMAC self-learning controller.
J. Nie & D.A. Linkens. (1993) Learning control using fuzzified self-organizing radial basis function network. IEEE Transactions on Fuzzy Systems 1:4, pages 280-287.
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