Books on the topic 'Feedforward'

Johansson, Björn. Feedforward control in dynamic situations. Linköping: Department of Computer and Information Science, Linköpings universitet, 2003.

Zevlaris, Charalambos. Feedforward squarewave FM data link. Manchester: UMIST, 1994.

Konstantinou, K. Feedforward linearization of microwave transmitter amplifiers. Manchester: UMIST, 1995.

Khan, Altaf Hamid. Feedforward neural networks with constrained weights. [s.l.]: typescript, 1996.

Duggan, D. M. Investigation of random feedforward Boolean neural networks. Manchester: UMIST, 1993.

Wally, Merrill, and United States. National Aeronautics and Space Administration., eds. A comparative robustness evaluation of feedforward neurofilters. [Washington, DC]: National Aeronautics and Space Administration, 1993.

W, Sandberg I., ed. Nonlinear dynamical systems: Feedforward neural network perspectives. New York: John Wiley, 2001.

Liu, Biao. Adaptive feedforward controllers for active noise control. Aachen: Shaker, 2001.

Mortimer, I. Bounding the cognitive domain in feedforward neural networks. Manchester: UMIST, 1997.

Kuan, Chung-Ming. Forecasting exchange rates using feedforward and recurrent neural networks. Champaign: University of Illinois at Urbana-Champaign, 1993.

Kuan, Chung-Ming. Forecasting exchange rates using feedforward and recurrent neural networks. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1992.

J, Marks Robert, ed. Neural smithing: Supervised learning in feedforward artificial neural networks. Cambridge, Mass: The MIT Press, 1999.

University, Open, ed. Practical design of a control system. Milton Keynes: Open University Press, 1986.

Morles, E. Colina. On-line control of dynamic systems using feedforward neural networks. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1992.

Juang, Jer-Nan. Predictive feedback and feedforward control for systems with unknown disturbances. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

Haldun, Direskeneli, Taylor Deborah B, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. A stochastic optimal feedforward and feedback control methodology for superagility. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Program, 1992.

Dietz, Christiane Paul, ón comisariada por/ an exhibiti. Feedforward: El ángel de la historia = the angel of history. Gijón]: LABoral, 2009.

S, Spina Michelle, and United States. National Aeronautics and Space Administration., eds. Application of multilayer feedforward neural networks to precipitation cell-top altitude estimation. [Washington, DC: National Aeronautics and Space Administration, 1998.

author, Han Honggui, ed. Qian kui shen jing wang luo fen xi yu she ji: Analysis and Design of Feedforward Neural Networks. Beijing: Ke xue chu ban she, 2013.

Tammi, Kari. Active control of radial rotor vibrations: Identification, feedback, feedforward, and repetitive control methods. [Espoo, Finland]: VTT Technical Research Centre of Finland, 2007.

Halyo, Nesim. Integrated control using the SOFFT control structure. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

Center, Langley Research, ed. Integrated control using the SOFFT control structure: Under contract NAS1-20185. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

Ostroff, Aaron J. Study of a simulation tool to determine achievable control dynamics and control power requirements with perfect tracking. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

1931-, Haykin Simon S., ed. Regularized radial basis function networks: Theory and applications. New York: John Wiley, 2001.

Harrison, R. F. A general method for the discovery and use of rules induced by feedforward artificial neural networks. Sheffield: University of Sheffield, Dept. of Automatic Control & Systems Engineering, 1995.

H, Tolson Robert, and Langley Research Center, eds. Input shaping to reduce solar array structural vibrations. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

Center, Ames Research, ed. Cascading a systolic array and a feedforward neural network for navigation and obstacle avoidance using potential fields. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1991.

Leung, Wing Kai. The specification, analysis and metrics of supervised feedforward artificial neural networks for applied science and engineering applications. Birmingham: University of Central England in Birmingham, 2002.

Broussard, John R. Investigation, development, and application of optimal output feedback theory: Volume III - The relationship between dynamic compensators and observers and Kalman filters. Hampton, Va: Langley Research Center, 1987.

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Investigation, development, and application of optimal output feedback theory. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

Quentin, Fiore, ed. War and peace in the global village: An inventory of some of the current spastic situations that could be eliminated by more feedforward. New York: Touchstone, 1989.

Marshall, McLuhan. War and peace in the global village: An inventory of some of the current spastic situations that could be eliminated by more feedforward. San Francisco, CA: HardWired, 1997.

S, Weigend Andreas, and Ames Research Center, eds. Two papers on feed-forward networks. [Moffett Field, Calif.]: NASA Ames Research Center, 1991.

Ostroff, Aaron J. Redesign of a variable-gain output feedback longitudinal controller flown on the High-Alpha Research Vehicle (HARV). Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

S, Weigend Andreas, and Ames Research Center, eds. Two papers on feed-forward networks. [Moffett Field, Calif.]: NASA Ames Research Center, 1991.

Mei, C. Modeling of structural-acoustic interaction using coupled FE/BE method and control of interior acoustic pressure using piezoelectric actuators: Final report for the period ending August, 1997 under research grant NAG1-1684. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering & Technology, Old Dominion University, 1997.

Yacheng, Shi, and United States. National Aeronautics and Space Administration., eds. Modeling of structural-acoustic interaction using coupled FE/BE method and control of interior acoustic pressure using piezoelectric actuators: Final report for the period ending August, 1997 under research grant NAG1-1684. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering & Technology, Old Dominion University, 1997.

Yacheng, Shi, and United States. National Aeronautics and Space Administration., eds. Modeling of structural-acoustic interaction using coupled FE/BE method and control of interior acoustic pressure using piezoelectric actuators: Final report for the period ending August, 1997 under research grant NAG1-1684. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering & Technology, Old Dominion University, 1997.

Yacheng, Shi, and United States. National Aeronautics and Space Administration., eds. Modeling of structural-acoustic interaction using coupled FE/BE method and control of interior acoustic pressure using piezoelectric actuators: Final report for the period ending August, 1997 under research grant NAG1-1684. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering & Technology, Old Dominion University, 1997.

Baram, Yoram. Estimation and classification by sigmoids based on mutual information. [Washington, D.C: National Aeronautics and Space Administration, 1994.

Ostroff, Aaron J. High-Alpha Research Vehicle (HARV) longitudinal controller: Design, analyses, and simulation results. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

Ostroff, Aaron J. High-alpha research vehicle (HARV) longitudinal controller: Design, analyses, and simulation results. Hampton: National Aeronautics and Space Administration, Langley Research Center, 1994.

Ostroff, Aaron J. High-Alpha Research Vehicle (HARV) longitudinal controller: Design, analyses, and simulation results. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

Ostroff, Aaron J. High-Alpha Research Vehicle (HARV) longitudinal controller: Design, analyses, and simulation results. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

Feedforward Neural Network Methodology. New York: Springer-Verlag, 1999. http://dx.doi.org/10.1007/b97705.

Fine, Terrence L. Feedforward Neural Network Methodology. Springer London, Limited, 2006.

Fine, Terrence L. Feedforward Neural Network Methodology. Springer, 2013.

Barassi, Pablo M. Feedback y Feedforward C: Líder C. Independently Published, 2017.

Feedforward Amplifiers for Wideband Communication Systems. Springer US, 2006. http://dx.doi.org/10.1007/0-387-35138-8.

Kafaligonul, Hulusi, Bruno G. Breitmeyer, and Haluk Öğmen, eds. Feedforward and Feedback Processes in Vision. Frontiers Media SA, 2015. http://dx.doi.org/10.3389/978-2-88919-594-7.