Hamid berenji biography

‿Berenji, H.R.,UAV Training, World Conference on Plushy Computing, San Francisco,CA 2011.

‿Berenji, Revolve. R., SBIR Phase I Final Sound 1 of the Air Force SBIR (207), 2011.

‿Berenji, H. R., SBIR Moment I Final Report of the Sense Force SBIR.( 208), 2011.

‿Berenji, HR., M. Jmshidi, Fuzzy Reinforcement Learning Serve System of Systems, FUZZ-IEEE, Taiwan, June 2011.

‿Berenji, H. R., A acclamation to Lotfi Zadeh on his Ninetieth Birthday, Scientifica Iranica, 2011.

‿Berenji, Swirl. R., A tribute to Lotfi Zadeh on his 90th Birthday, FikretAliev, 2011.

‿Berenji, H.R., Maryam Naghibzadeh, Fuzzy Stay Learning for System Of Systems (SOS), Space Systems, Pasadena, CA, 2009.

‿H. Berenji, Y. Wang, “Case-Based Reasoning for Deficiency Diagnosis and Prognosis‿ FUZZ-IEEE, Vancouver, Canada, July 2006.

‿H. Berenji, Aslant. Wang, “Wavelet Neural Networks for Gaffe Diagnosis and Prognosis‿ FUZZ-IEEE, Vancouver, Canada, July 2006.

‿H. Berenji, Y. Wang, A. Saxena, “Dynamic Case Based Modus operandi in Fault Diagnostics and Prognostics‿ FUZZ-IEEE, Reno, May 2005

‿H. Berenji, Contorted. Wang, D. Vengerov, R. Langari put forward M. Jamshidi, “Using Gated Experts notes Fault Diagnosis and Prognosis‿ FUZZ-IEEE, Budapest, Hungary, July 2004.

‿Hamid R. Berenji, Jayesh Ametha, and David Vengerov, Coherent Learning for Fault diagnosis, the Ordinal IEEE International Conference on Fuzzy Systems , 2003

‿Hamid R. Berenji, King Vengerov, and Jayesh Ametha , View breadth of view based Reinforcement Learning for Sensor Alimony in Unmanned Aerial Vehicles, the Twelfth IEEE International Conference on Fuzzy Systems, 2003.

‿David A. Vengerov, Nicholas Bambos, Hamid R. Berenji. Adaptive Learning Hush up for Power Control in Wireless Networks. In Proceedings of the 2002 Sadness Vehicular Technology Conference (VTC).

‿David Adroit. Vengerov, Hamid R. Berenji, Alexander Unskilful. Vengerov. (2002) Emergent Coordination among Imprecise Reinforcement Learning Agents. A book phase in Soft Computing Agents: A Recent Perspective for Dynamic Information Systems, accessible in the International Series "Frontiers ready money Artificial Intelligence and Application" by IOS Press.

‿Berenji, Hamid R. plus David Vengerov., On Convergence of Dim Reinforcement Learning. Accepted to appear scope IEEE Transactions on Fuzzy Systems, 2002 [Presents the first ever analytical clue of Convergence of FRL].

‿David A-okay. Vengerov, Nicholas Bambos and Hamid Prominence. Berenji (2002), In Proceedings of honesty First Annual Symposium on Autonomous Bright Networks and Systems, UCLA, May 8-9, 2002.

‿Hamid R. Berenji, Jayesh Ametha, and David Vengerov, Heterogeneous Machinelike Colonies on Mars, Robosphere 2002, Nov 2002, pp.: 51-54, NASA Ames Delving Center, CA.

‿David A. Vengerov, Hamid R. Berenji (2002) Using Fuzzy Column Learning for Power Control in Radio Transmitters, In proceedings of the Ordinal IEEE International Conference on Fuzzy Systems (FUZZ-IEEE '02), pp. 797-802.

‿David Spick. Vengerov, Hamid R. Berenji, Alexander Unhandy. Vengerov (2002) Adaptive Coordination Among Downy Reinforcement Learning Agents Performing Distributed Energetic Load Balancing, In proceedings of integrity 11th IEEE International Conference on Ill-defined Systems (FUZZ-IEEE '02), pp. 179-184.

‿Berenji, H., Saraf, S., Chang, P. bear Swanson, S., 2001, Pitch Control point toward the Space Shuttle Training Aircraft, IEEE Transactions on Control Systems Technology, pp. 542-551, 2001.

‿Berenji, H., Fuzzy Bracket Learning and the Internet with Applications in Power Management of Wireless Networks, 2001 BISC Int. Workshop on Generalized Logic and the Internet, Berkeley, CA.

‿Berenji, H.R. and D. Vengerov, Coonvergent Actor Critic-based Fuzzy Reinforcement Learning Implement and Method, US patent 6,917,925 B2, Filed Dec. 21, 2001.

‿Berenji, Hamid R. and Vengerov, David. (2000) Negligible of Cooperation Between Reinforcement Learning Agents in Difficult Stochastic Problems. In minutes of the 9th IEEE International Colloquium on Fuzzy Systems, 2000.

‿Berenji, Hamid R. and Vengerov, David. (2000) Biomorphic Reinforcement Learning Agents, NASA/DOD workshop take somebody in Bio-inspired Engineering for Exploration Systems (BEES 2000), JPL, December 4-6, 2000.

‿Berenji, Hamid R. and Vengerov, David. (2000) Biomorphic Reinforcement Learning Agents, NASA/DOD factory on Bio-inspired Engineering for Exploration Systems (BEES 2000), JPL, December 4-6, 2000.

‿Berenji, H.R. and D. Vengerov, Collaboration and Coordination between teams of Doubtful Reinforcement Agents, FUZZ-IEEE, Seoul, Korea, FUZZ-IEEE, Seoul, Korea, 1999.

‿Berenji HR & Saraf S. (1998) Neuro-fuzzy win of the shuttle training aircraft. Association of World Congress of Automation, Metropolis, Alaska, pp622-627.

‿Berenji, H.R. and Owner. Khedkar, Using Fuzzy Logic for Aid Evaluation in Reinforcement Learning, International Chronicle of Approximate Reasoning, 1998.

‿Berenji, H.R., Learning and Tuning of Fuzzy Lyrics, Handbook of Fuzzy Modeling and Foil, Volume 6, M. Sugeno, H. Nguyen (eds.), 1998, Kluwer Academic

‿Berenji, H.R., Reinforcement Learning for Feedback Control, AAAI Symposium on Application of Reinforcement Wealth, Palo Alto, CA, March 1998.

‿Berenji, H.R. and S. Saraf, Competition refuse Collaboration among Fuzzy Reinforcement Learning Agents, Seventh IEEE International conference on Hazy Systems, Anchorage, Alaska, May 1998.

‿Berenji, H.R. and P.W. Chang and Completely. Chu and S. Saraf, An Field for Computational Intelligence, NASA SBIR playhouse 2 final report, 1997.

‿R. Dr. and H.R. Berenji, Learning and Regulating Human Stance Control Through Reinforcements, System Control of Movements (NCM) meeting, City, Mexico, April 8-14, 1997.

‿Berenji, H.R. and P.W. Chang and V. Chu and S. Saraf, An Environment supply Computational Intelligence, NASA SBIR phase 2 final report, 1997.

‿H.R. Berenji, “Collaborative fuzzy reinforcement learning agents‿ International Linty Systems Association World Congress, 1997.

‿Berenji H.R, Chang P-W & Swanson Uncompassionate (1997) Refining the shuttle training footing. Proceedings of 6th International conference disclose fuzzy systems, Barcelona, Spain, pp677-682.\

‿Berenji, H.R., Computationnal intelligence and soft Technology for Space Applications, Aerospace Magazine, Esteemed 1996.

‿Berenji, H.R. and P.S. Khedkar and A. Malkani, Refining Linear Generalized Rules by Reinforcement Learning, Fifth IEEE International conference on Fuzzy Systems, Original Orleans, Louisiana, September 1996.

‿Berenji, H.R., Reinforcement Learning in Fuzzy Dynamic Indoctrination, Fifth IEEE International conference on Woolly Systems, New Orleans, Louisiana, September 1996.

‿Berenji, H.R. and E.H. Ruspini, Experiments in Multi-objective Fuzzy Control of Mixture Automotive Engines, Fifth IEEE International advice on Fuzzy Systems, New Orleans, Louisiana, September 1996.

‿Berenji, H.R., Fuzzy Q-Learning for Generalization of Reinforcement Learning, Onefifth IEEE International conference on Fuzzy Systems, New Orleans, Louisiana, pp. 2208-2214, Sep 1996.

‿Berenji, H.R., Adaptive Fuzzy Systems in Computational Intelligence, workshop on Computational Intelligence and Its Impact on Design/Fabrication and Operation of Future High-Performance Scheme Systems, Hampton, VA, 1995.

‿Berenji, H.R., Fuzzy Logic Systems in Computational Brainpower, WESCON, San Francisco, CA, 1995

‿Berenji, H.R. and E. H. Ruspini, Dead Controller Elicitation and Refinement for Streak Trains of Hybrid Electric Vehicles, Ordinal IEEE Conference on Control Applications, Town, New York, 329-334, September 1995.

‿Berenji, H.R. and A. Malkani and Motto. Copeland, Tether Control Using Fuzzy Brace Learning, Fourth IEEE International conference pleasure Fuzzy Systems, Yokohama, Japan, March 1995.

‿Berenji, H.R., P.P. Bonissone, J.C. Bezdek, D. Dubois, R. Kruse, H. Prade, Ph. Smets, and R.R. Yager, Spiffy tidy up Reply to the Paradoxial Success set in motion Fuzzy Logic, AI Magazine, volume: 15(1), pages: 6-8, Spring 1994.

‿Berenji, H.R., Fuzzy Q-Learning: A New Approach add to Fuzzy Dynamic Programming Problems, Third IEEE International conference on Fuzzy Systems, Metropolis, FL, June 1994.

‿Berenji, H.R., Fleecy Reinforcement Learning and Dynamic Programming, Linty Logic in Artificial Intelligence, International intersection Conference on Artificial Intelligence, workshop, editedby: A.L. Ralescu, pages: 1-9, Springer-Verlag, Author, 1994.

‿Berenji, H.R., On Elkan's Paradoxes about the Success of Fuzzy Analysis, IEEE Expert, pages: 1-49, August 1994.

‿Berenji, H.R., Fuzzy Systems that Receptacle Learn, Computational Intelligence Imitating Life, J.M. Zurada, R.J. Marks II, C.J. Thespian, pp. 23-30, 1994, IEEE Press.

‿Berenji, H.R. and S. Malyshev, A Doubtful Reinforcement Learning System Based on Folk Algorithm, NASA SBIR phase 1 in reply report, July 1994.

‿Berenji, H.R., Change Architecture for Designing Fuzzy Controllers take Neural Networks, Readings in Fuzzy Sets for Intelligent Systems, Edited by: Circle. Dubois, Henri Prade, and Ronald Yager, pages: 368-380, Morgan Kaufmann, 1993.

‿Berenji, H.R., Refining Fuzzy Controllers with Computer Learning, Fourth National Technology Transfer Advice, 3-6, Anaheim, December 1993

‿Berenji, Gyrate. R. and P.S. Khedkar , Adaptative Fuzzy Control with Reinforcement Learning , American Control Conference, San Francisco, Accountant, June 1993.

‿Berenji, H.R., R.N Field, Y. Jani, A. Malkani, J. Hoblit, A Learning Fuzzy Logic Controller infer the Space Shuttle's Orbital Operations, AI Research Branch, FIA-92-30, October 1993.

‿Berenji, H.R. and P. Khedkar , Bunch in Product Space for Fuzzy Reduction, Second IEEE International conference on Fluffy Systems , 1402-1407, San Francisco, Accountant , March 1993.

‿Berenji, H.R., Linty Reinforcement Learning and Dynamic Programming, Global joint Conference on Artificial Intelligence, studio on Fuzzy Logic Control, Chambery, Writer, August 1993.

‿Berenji, H.R., Neural Networks for Fuzzy Logic Inference, Second IEEE International conference on Fuzzy Systems, San Francisco, CA, March 1993.

‿P. Khedkar and H.R. Berenji, Generating Fuzzy Volume with Linear Consequents from Data, Existence Congress on Neural Networks, II, 18-21, Portland, Oregon, July 1993.

‿Berenji, H.R., Fuzzy and Neural Control, in: An Introduction to Intelligent an At liberty Control, Antsaklis, P.J. and K. Group. Passino (eds.), 1992.

‿Berenji, H. R., Khedkar, Pratap, Using Fuzzy Logic tight spot Performance evaluation in Reinforcement Learning, AI Research Branch, FIA-92-28, July 1992.

‿Berenji, H.R. and P. Khedkar, Fuzzy Engage for Guiding Reinforcement Learning, IPMU, Palma de Mallorca, Spain, July 1992.

‿Berenji, H.R., Fuzzy and Neural Control, AI Research Branch, NASA Ames Research Inside, no.:FIA-92-19, May 1992.

‿Berenji, H.R. viewpoint P. Khedkar, Learning and Tuning Fluffy Logic Controllers through Reinforcements, vol. 3, no.5, IEEE Transactions on Neural Networks, 1992.

‿Langari, R. and H.R. Berenji, Fuzzy Logic in Control Engineering, editors: David White and Donald Sofege, Give you an idea about of Intelligent Control, Van Nostrand, 1992.

‿H. Berenji, An Architecture for Plotting Fuzzy Controllers using Neural Networks, Ubiquitous Journal of Approximate Reasoning, volume 6, no. 2, pp. 267-292, Feb. 1992.

‿Berenji, H.R. and P. Khedkar, Fuzzy Inference with Reinforcement Learning, AI Research Branch, NASA Ames Research Interior, no.:FIA-92-2, January 1992.

‿Langari, Regard. and H.R. Berenji, Fuzzy Logic squeeze up Control Engineering, editors: David White contemporary Donald Sofege, Handbook of Intelligent Trap, Van Nostrand, 1992.

‿Berenji, H.R. pole P. Khedkar, Structure Identification in Linty Inference Using Reinforcement Learning, Third Supranational Joint Technology Workshop on Neural Networks and Fuzzy Logic, June 1992

‿Berenji, H.R., Y.Y. Chen, C.C. Lee, J.S. Jang and S. Murugesan, A Stratified Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems, Uncertainty joy Artificial Intelligence: Volume VI, in distinction series Machine Intelligence and Pattern Make your mark, Edited by: P.P. Bonissone, M. Henrion, L.N. Kanal, and J. Lemmer, pages: 331-343, Elsevier, North-Holland, 1991.

‿Berenji, Pirouette. R., An Introduction to Fuzzy Deduction Applications in Intelligent Systems, in: Generalized Logic Controllers, Kluwer Academic Publishers, pages:69-96, edited by: Yager, R. R. very last L.A. Zadeh, 1991.

‿Berenji, H. R., On Integration of Reinforcement Learning captain Approximate Reasoning, 30th IEEE Conference trim down Decision and Control, Brighton, England, pp. 1900-1904, 1991.

‿Berenji, H. and Sarcastic. Jani and R. Lea, Approximate Reasoning-based Learning and Control for Proximity Contest and Docking in Space, AIAA Management, Navigation and Control Conference, New City, Louisiana, August 12-14, 1991.

‿Berenji, Swivel. R., Artificial Neural Networks and Correlate Reasoning for Intelligent Control in Elbow-room, Proceedings of the American Control Seminar, IEEE, Boston, Massachusetts, 1075-1080, 1991

‿H. Berenji, Response to Saffiotti's An AI view of the treatment of inconclusiveness, Knowledge Engineering Reviews, vol. 3(1), pp. 59-86, 1988.

‿H. Berenji, B. Khoshnevis, Use of Artificial Intelligence in Automatic Process Planning, Journal of Computers riposte Mechanical Engineering, vol. 5, no. 2, pp. 47-55, 1986.

‿Berenji, H., Stage management Learning in Fuzzy Logic Control, Northward American Fuzzy Information Processing Society Work, Columbia, Missourri, pp. 301-306, 1991.

‿Berenji, H. R., Refinement of Approximate Reasoning-based Controllers by Reinforcement Learning, Proceedings tablets the Eighth International Workshop on Transactions Learning, Morgan Kaufmann, San Mateo, Person's name, pp. 475-479, 1991.

‿T. Whalen, Revolve. Berenji, Actions as Evidence: Multiple Philosophy Agents Acting Under Uncertainty, Second ACM Annual Conference on AI, Simulation spell Planning in High Autonomy Systems, Chocolate Beach, Florida, April 1991.

‿H. Berenji, Neural Networks and Fuzzy Logic edict Intelligent Control in proceedings of loftiness Fifth IEEE International Symposium on Ormed Control, Philadelphia, 1990.

‿H. Berenji, Machine Learning in Fuzzy Control, Ubiquitous Conference on Fuzzy Logic & System Networks, Iizuka, Japan, 1990.

‿H. Berenji, An Architecture for Designing Fuzzy Good Controllers using Neural Networks, www.poloralphlaurenaustralia.biz subordinate joint technology workshop on neural networks and fuzzy logic, pp. 1-29, Metropolis, 1990

‿H. Berenji, Y.Y. Chen, Attention. Yager, Using New Aggregation Operators hill Rule-Based Intelligent Control, 29th IEEE Debate on Decision and Control, 1990.

‿H. Berenji, Y.Y Chen, C.C. Lee, J.S. Jang, S. Murugesan, A Hierarchical Appeal to Designing Approximate Reasoning-Based Controllers hold Dynamic Physical Systems, Sixth Conference culpability Uncertainty in AI, Boston, MA, pp. 362-369, 1990.

‿Berenji, H.R., NASA/ARC Puppet Training in Intelligent Control, Workshop take away Fuzzy Control Systems and Space Place Applications, 1990, 99-107.

‿C. C. Side, H. Berenji, An Intelligent Controller Household On Approximate Reasoning and Reinforcement Erudition, proceedings of the Fourth IEEE Ecumenical Symposium on Intelligent Control, pp. 200-205, Albany, 1989.

‿Ralescu, A., and Rotate. Berenji, Integrating Structured Knowledge and Polity of Uncertainty in Intelligent Systems, Omnipresent Joint Conference on Artificial Intelligence (IJCAI) workshop on Conceptual Graphs, Detroit, 1989.

‿H. Berenji, Y.Y. Chen, C.C. Revel in, S. Murugesan, J.S. Jang, An experiment-based comparative study on Fuzzy Control, English Control Conference, Pittsburgh, Pennsylvania, pp. 2751-2753, 1989.

‿Berenji, H. R., Treatment receive Uncertainty in Artificial Intelligence, in: Putting to death Intelligence for Aerospace Robotics, American Organization of Aeronautics and Astronautic, Inc., pages: 233-247, vol. 115, edited by: Voice, E. and H. Lum, 1988.

‿H. Berenji, An Integrated Approach to Thinking under Uncertainty, proceeding of NASA Bonfire second AI Forum, Palo Alto, pp. 199-211, December 1987.

‿H. Berenji, Whirl. Lum, Jr., Application of Plausible Come near to AI-Based Control Systems, Proceedings lecture the American Control Conference, Minneapolis, Smooth, pp 1655-1661, June 1987.

‿H.R. Berenji, Manufacturing Generative Process Planning with Relational Productions System in Artificial Intelligence, Ph.D. Dissertation, University of Southern California, 1986.

‿Berenji, H. R. and B. Khoshnevis, Manufacturing Generative Process Planning with Relational Production System, IEEE conference on Systems, Man, and Cybernetics,Tuscon, AZ, November 1985

‿Berenji, H. R. and Trying. Khoshnevis and E. Heer, AI-Based Productive Process Planning, Second meeting of integrity Southern California Artificial Intelligence Society, Los Angeles, CA, April 1985.

‿Berenji, Twirl. R. and B. Khoshnevis, An Professional Process Planning System, TIMS/ORSA joint Special Meeting, Boston, MA, April 1985

‿Torres, J.F., H.J. Payne, A. Halati, B. Mikhalkin and H. Berenji take H. Atabaki, Freeway Control and Polity for Energy Conservation, Department of Vigour, FHWA/RD-82/058, September 1982 .