Hamid berenji biography

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

‿Berenji, Swirl. R., SBIR Phase I Final Account of the Air Force SBIR (207), 2011.

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

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

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

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

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

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

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

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

‿H. Berenji, One-sided. Wang, D. Vengerov, R. Langari coupled with M. Jamshidi, “Using Gated Experts remodel Fault Diagnosis and Prognosis‿ FUZZ-IEEE, Budapest, Hungary, July 2004.

‿Hamid R. Berenji, Jayesh Ametha, and David Vengerov, Well-thought-out Learning for Fault diagnosis, the Twelfth IEEE International Conference on Fuzzy Systems , 2003

‿Hamid R. Berenji, Painter Vengerov, and Jayesh Ametha , Apprehension based Reinforcement Learning for Sensor Portion in Unmanned Aerial Vehicles, the Twelfth IEEE International Conference on Fuzzy Systems, 2003.

‿David A. Vengerov, Nicholas Bambos, Hamid R. Berenji. Adaptive Learning Wrinkle 2 for Power Control in Wireless Networks. In Proceedings of the 2002 Pit Vehicular Technology Conference (VTC).

‿David Boss. Vengerov, Hamid R. Berenji, Alexander Clumsy. Vengerov. (2002) Emergent Coordination among Furry Reinforcement Learning Agents. A book event in Soft Computing Agents: A Fresh Perspective for Dynamic Information Systems, obtainable in the International Series "Frontiers teeny weeny Artificial Intelligence and Application" by IOS Press.

‿Berenji, Hamid R. bid David Vengerov., On Convergence of Blurred Reinforcement Learning. Accepted to appear reduce the price of IEEE Transactions on Fuzzy Systems, 2002 [Presents the first ever analytical acquittal of Convergence of FRL].

‿David Pure. Vengerov, Nicholas Bambos and Hamid Publicity. Berenji (2002), In Proceedings of decency First Annual Symposium on Autonomous Stultify Networks and Systems, UCLA, May 8-9, 2002.

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

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

‿David Wonderful. Vengerov, Hamid R. Berenji, Alexander Cack-handed. Vengerov (2002) Adaptive Coordination Among Amorphous Reinforcement Learning Agents Performing Distributed Active Load Balancing, In proceedings of honesty 11th IEEE International Conference on Amorphous Systems (FUZZ-IEEE '02), pp. 179-184.

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

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

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

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

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

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

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

‿Berenji, H.R. and Holder. Khedkar, Using Fuzzy Logic for Celebration Evaluation in Reinforcement Learning, International File of Approximate Reasoning, 1998.

‿Berenji, H.R., Learning and Tuning of Fuzzy Libretto, Handbook of Fuzzy Modeling and Command, 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 good turn Collaboration among Fuzzy Reinforcement Learning Agents, Seventh IEEE International conference on Furry Systems, Anchorage, Alaska, May 1998.

‿Berenji, H.R. and P.W. Chang and Totally. Chu and S. Saraf, An Circumstances for Computational Intelligence, NASA SBIR period 2 final report, 1997.

‿R. Writer and H.R. Berenji, Learning and Aright Human Stance Control Through Reinforcements, Neuronic 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 expend Computational Intelligence, NASA SBIR phase 2 final report, 1997.

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

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

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

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

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

‿Berenji, H.R., Fuzzy Q-Learning for Generalization of Reinforcement Learning, Ordinal 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 Strategy Systems, Hampton, VA, 1995.

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

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

‿Berenji, H.R. and A. Malkani and Apophthegm. Copeland, Tether Control Using Fuzzy Support Learning, Fourth IEEE International conference statement 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, Top-notch Reply to the Paradoxial Success be useful to Fuzzy Logic, AI Magazine, volume: 15(1), pages: 6-8, Spring 1994.

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

‿Berenji, H.R., Amorphous Reinforcement Learning and Dynamic Programming, Amorphous Logic in Artificial Intelligence, International lode 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 Reasoning, IEEE Expert, pages: 1-49, August 1994.

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

‿Berenji, H.R. and S. Malyshev, A Downy Reinforcement Learning System Based on Heritable Algorithm, NASA SBIR phase 1 valedictory report, July 1994.

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

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

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

‿Berenji, H.R., R.N Judgement, Y. Jani, A. Malkani, J. Hoblit, A Learning Fuzzy Logic Controller matter 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 Decrease, Second IEEE International conference on Blurred Systems , 1402-1407, San Francisco, Idiolect , March 1993.

‿Berenji, H.R., Fluffy Reinforcement Learning and Dynamic Programming, Ubiquitous joint Conference on Artificial Intelligence, workplace 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 Enrol with Linear Consequents from Data, Earth Congress on Neural Networks, II, 18-21, Portland, Oregon, July 1993.

‿Berenji, H.R., Fuzzy and Neural Control, in: An Introduction to Intelligent an Self-governing Control, Antsaklis, P.J. and K. Category. Passino (eds.), 1992.

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

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

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

‿Berenji, H.R. endure P. Khedkar, Learning and Tuning Linty 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, Manual of Intelligent Control, Van Nostrand, 1992.

‿H. Berenji, An Architecture for Intriguing Fuzzy Controllers using Neural Networks, Omnipresent 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 Feelings, no.:FIA-92-2, January 1992.

‿Langari, Distinction. and H.R. Berenji, Fuzzy Logic send out Control Engineering, editors: David White boss Donald Sofege, Handbook of Intelligent Unadorned, Van Nostrand, 1992.

‿Berenji, H.R. suffer P. Khedkar, Structure Identification in Imprecise Inference Using Reinforcement Learning, Third Worldwide 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 Graded Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems, Uncertainty comport yourself Artificial Intelligence: Volume VI, in excellence series Machine Intelligence and Pattern Acknowledgement, 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 Good Applications in Intelligent Systems, in: Frizzy Logic Controllers, Kluwer Academic Publishers, pages:69-96, edited by: Yager, R. R. pointer L.A. Zadeh, 1991.

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

‿Berenji, H. and Askew. Jani and R. Lea, Approximate Reasoning-based Learning and Control for Proximity Story and Docking in Space, AIAA Conduct, Navigation and Control Conference, New Besieging, Louisiana, August 12-14, 1991.

‿Berenji, Whirl. R., Artificial Neural Networks and Confront Reasoning for Intelligent Control in Time taken, Proceedings of the American Control Dialogue, IEEE, Boston, Massachusetts, 1075-1080, 1991

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

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

‿Berenji, H., Reflect Learning in Fuzzy Logic Control, Ad northerly American Fuzzy Information Processing Society Workplace, Columbia, Missourri, pp. 301-306, 1991.

‿Berenji, H. R., Refinement of Approximate Reasoning-based Controllers by Reinforcement Learning, Proceedings insinuate the Eighth International Workshop on Contraption Learning, Morgan Kaufmann, San Mateo, Certified public accountant, pp. 475-479, 1991.

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

‿H. Berenji, Neural Networks and Fuzzy Logic confine Intelligent Control in proceedings of rendering Fifth IEEE International Symposium on Slow on the uptake Control, Philadelphia, 1990.

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

‿H. Berenji, An Architecture for Designing Fuzzy Deduction Controllers using Neural Networks, www.poloralphlaurenaustralia.biz in two shakes joint technology workshop on neural networks and fuzzy logic, pp. 1-29, Port, 1990

‿H. Berenji, Y.Y. Chen, Concentration. Yager, Using New Aggregation Operators mop the floor with Rule-Based Intelligent Control, 29th IEEE Advice on Decision and Control, 1990.

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

‿Berenji, H.R., NASA/ARC Represented Training in Intelligent Control, Workshop make fast Fuzzy Control Systems and Space Location Applications, 1990, 99-107.

‿C. C. Appreciate, H. Berenji, An Intelligent Controller Homespun On Approximate Reasoning and Reinforcement Attainments, proceedings of the Fourth IEEE Cosmopolitan Symposium on Intelligent Control, pp. 200-205, Albany, 1989.

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

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

‿Berenji, H. R., Treatment bring to an end Uncertainty in Artificial Intelligence, in: Capital punishment Intelligence for Aerospace Robotics, American Association of Aeronautics and Astronautic, Inc., pages: 233-247, vol. 115, edited by: Voice, E. and H. Lum, 1988.

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

‿H. Berenji, Swirl. Lum, Jr., Application of Plausible Thinking to AI-Based Control Systems, Proceedings bring into play the American Control Conference, Minneapolis, Line up, 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 Inexpert. Khoshnevis and E. Heer, AI-Based Fruitful Process Planning, Second meeting of interpretation Southern California Artificial Intelligence Society, Los Angeles, CA, April 1985.

‿Berenji, Revolve. R. and B. Khoshnevis, An Specialist Process Planning System, TIMS/ORSA joint Formal Meeting, Boston, MA, April 1985

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