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Hamid R. Berenji
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2010 – 2019
- 2016
- [c20]Nasser Sadati, Hamid R. Berenji:
Coordination of large-scale systems using fuzzy optimal control strategies and neural networks. FUZZ-IEEE 2016: 2035-2042 - 2015
- [c19]Abbas Namdar Aliabadi, Hamid R. Berenji:
Combined model of customer assessment for order acceptance problem under fuzzy goals and fuzzy constraints. FUZZ-IEEE 2015: 1-6 - 2014
- [c18]Abbas Namdar Aliabadi, Hamid R. Berenji:
A comparison of computational intelligence techniques for energy time series forecasting. FUZZ-IEEE 2014: 1648-1653 - 2013
- [c17]Abbas Namdar Aliabadi, Hamid R. Berenji:
Hybrid model of customer response modeling through combination of neural networks and data pre-processing. FUZZ-IEEE 2013: 1-4 - [i1]Hamid R. Berenji, Yung-Yaw Chen, Chuen-Chien Lee, Jyh-Shing Roger Jang, S. Murugesan:
A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems. CoRR abs/1304.1124 (2013) - 2011
- [j9]Hamid R. Berenji:
A tribute to Lotfi Zadeh on his 90th birthday. Sci. Iran. 18(3): 682 (2011) - [c16]Hamid R. Berenji, Mo M. Jamshidi:
Fuzzy reinforcement learning for System of Systems (SOS). FUZZ-IEEE 2011: 1689-1694
2000 – 2009
- 2007
- [c15]Hamid R. Berenji, Yan Wang, George J. Vachtsevanos:
Case Based Reasoning for Monopropellant Propulsion. FUZZ-IEEE 2007: 1-6 - 2006
- [c14]Hamid R. Berenji, Yan Wang:
Case-Based Reasoning for Fault Diagnosis and Prognosis. FUZZ-IEEE 2006: 1316-1321 - [c13]Hamid R. Berenji, Yan Wang:
Wavelet Neural Networks for Fault Diagnosis and Prognosis. FUZZ-IEEE 2006: 1334-1339 - 2005
- [j8]David Vengerov, Nicholas Bambos
, Hamid R. Berenji:
A fuzzy reinforcement learning approach to power control in wireless transmitters. IEEE Trans. Syst. Man Cybern. Part B 35(4): 768-778 (2005) - [c12]Hamid R. Berenji, Yan Wang, Abhi Saxena:
Dynamic Case Based Reasoning in Fault Diagnosis and Prognosis. FUZZ-IEEE 2005: 845-850 - 2004
- [c11]Hamid R. Berenji, Yan Wang, David Vengerov, Reza Langari, Mo M. Jamshidi:
Using gated experts in fault diagnosis and prognosis. FUZZ-IEEE 2004: 463-467 - 2003
- [j7]Hamid R. Berenji, David Vengerov:
A convergent actor-critic-based FRL algorithm with application to power management of wireless transmitters. IEEE Trans. Fuzzy Syst. 11(4): 478-485 (2003) - [c10]Hamid R. Berenji, David Vengerov, Jayesh Ametha:
Co-evolutionary perception-based reinforcement learning for sensor allocation in autonomous vehicles. FUZZ-IEEE 2003: 125-130 - [c9]Hamid R. Berenji, Jayesh Ametha, David Vengerov:
Inductive learning for fault diagnosis. FUZZ-IEEE 2003: 726-731 - 2002
- [c8]David Vengerov, Hamid R. Berenji, Alex Vengerov:
Adaptive coordination among fuzzy reinforcement learning agents performing distributed dynamic load balancing. FUZZ-IEEE 2002: 179-184 - [c7]David Vengerov, Hamid R. Berenji:
Using fuzzy reinforcement learning for power control in wireless transmitters. FUZZ-IEEE 2002: 797-802 - 2001
- [j6]Hamid R. Berenji, Sujit Saraf, Ping-Wei Chang, Steven Swanson:
Pitch control of the space shuttle training aircraft. IEEE Trans. Control. Syst. Technol. 9(3): 542-551 (2001) - [c6]Hamid R. Berenji, David Vengerov:
On Convergence of Fuzzy Reinforcement Learning. FUZZ-IEEE 2001: 618-621 - 2000
- [c5]Hamid R. Berenji, David Vengerov:
Advantages of cooperation between reinforcement learning agents in difficult stochastic problems. FUZZ-IEEE 2000: 871-876
1990 – 1999
- 1998
- [j5]Hamid R. Berenji, Pratap S. Khedkar:
Using fuzzy logic for performance evaluation in reinforcement learning. Int. J. Approx. Reason. 18(1-2): 131-144 (1998) - 1994
- [j4]Hamid R. Berenji:
Responses to Elkan (Hamid R. Berenji). IEEE Expert 9(4): 9- (1994) - [c4]Hamid R. Berenji:
Applications of Fuzzy Logic and Soft Computing in Space. Fuzzy Days 1994: 221-224 - 1993
- [c3]Hamid R. Berenji:
Fuzzy Reinforcement Learning and Dynamic Programming. Fuzzy Logic in Artificial Intelligence 1993: 1-9 - 1992
- [j3]Hamid R. Berenji:
A reinforcement learning--based architecture for fuzzy logic control. Int. J. Approx. Reason. 6(2): 267-292 (1992) - [j2]Hamid R. Berenji, Pratap S. Khedkar:
Learning and tuning fuzzy logic controllers through reinforcements. IEEE Trans. Neural Networks 3(5): 724-740 (1992) - 1991
- [c2]Hamid R. Berenji:
Refinement of Approximate Reasoning-based Controllers by Reinforcement Learning. ML 1991: 475-479 - 1990
- [c1]Hamid R. Berenji, Yung-Yaw Chen, Chuen-Chien Lee, Jyh-Shing Roger Jang, S. Murugesan:
A hierarchical approach to designing approximate reasoning-based controllers for dynamic physical systems. UAI 1990: 331-346
1980 – 1989
- 1988
- [j1]Dominic A. Clark, Jim F. Baldwin, Hamid R. Berenji, Paul R. Cohen, Didier Dubois, John Fox, John F. Lemmer, Henri Prade, David J. Spiegelhalter, Philippe Smets, Lotfi A. Zadeh:
Responses to "An AI view of the treatment of uncertainty" by Alessandro Saffiotti. Knowl. Eng. Rev. 3(1): 59-86 (1988)
Coauthor Index
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