Neural networks for control

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Neural networks for control

Neural networks for control

W Thomas Miller, Richard S Sutton, Paul J Werbos, National Science Foundation (U.S.)

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درجه (قاطیغوری(:

Computers - Computer Science

کال:

1990

خپرندویه اداره:

MIT Press

ژبه:

english

صفحه:

526

ISBN 10:

0262132613

ISBN 13:

9780262132619

لړ (سلسله):

Neural network modeling and connectionism

فایل:

PDF, 40.58 MB

IPFS:

,

english, 1990

کاپی کول (pdf, 40.58 MB)

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ممکن تاسی علاقمند شی

Paul Werbos — Beyond regression : new tools for prediction and analysis in the behavioral sciences

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Irwin, G. W.; Warwick, K.; Hunt, K. J — Neural network applications in control

Johan A. K. Suykens, Joos P. L. Vandewalle, Bart L. R. De Moor (auth.) — Artificial Neural Networks for Modelling and Control of Non-Linear Systems

I. M. Mujtaba, Mehboob A. Hussain — Application of Neural Networks and Other Learning Technologies in Process Engineering

Kenji Suzuki, editor — Artificial neural networks - industrial and control engineering applications

MIT Press — Neural Computation, Volume 01 (1989) issue 1, 2, 3, 4

Bogdan M. Wilamowski, J. David Irwin — Intelligent Systems, 2nd Ed

Naresh K Sinha, Madan M.Gupta — Soft Computing and Intelligent Systems: Theory and Applications

Dustic M. Kati´c et al. — Intelligent Soft-Computing Techniques in Robotics

Unknown — "Art Neural Nets". In: Wiley Encyclopedia of Electrical and Electronics Engineering

Narendra K.S., Parthasarathy K. — Identification and Control of Dynamic Systems Using Neural Networks

Cornelius T. Leondes — Control and Dynamic Systems (Neural Network Systems Techniques and Applications)

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Naresh K. Sinha, Madan M. Gupta and Lotfi A. Zadeh (Eds.) — Soft Computing and Intelligent Systems. Theory and Applications

Alma Y. Alanis, Nancy Arana-Daniel, Carlos Lopez-Franco — Artificial Neural Networks for Engineering Applications

Jeffrey L. Elman, Elizabeth A. Bates, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, Kim Plunkett — Rethinking Innateness: A Connectionist Perspective on Development

Daniel Gardner — Neurobiology of Neural Networks

edited by Russell Greiner, Thomas Petsche and Stephen José Hanson. — Computational learning theory and natural learning systems - Making Learning Systems Practical

Nikolaev N., Iba H. — Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods

Nikolay Y. Nikolaev, Hitoshi Iba — Adaptive Learning of Polynomial Networks. Genetic Programming, Backpropagation and Bayesian Methods

Danilo P. Mandic, Jonathon A. Chambers(auth.), Simon Haykin(eds.) — Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability

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Larry Medsker, Lakhmi C. Jain — Recurrent Neural Networks

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Antonio Ruano — Intelligent Control Systems Using Computational Intelligence Techniques

F. L. Lewis, J. Campos, R. Selmic — Neuro-fuzzy control of industrial systems with actuator nonlinearities

Larry Medsker, Lakhmi C. Jain — Recurrent Neural Networks: Design and Applications

Bogdan M. Wilamowski, J. David Irwin — The Industrial Electronics Handbook. Second Edition: Intelligent Systems

David DeMers, Kenneth Kreutz-Delgado (auth.), George A. Bekey, Kenneth Y. Goldberg (eds.) — Neural Networks in Robotics

David S. Touretzky, Jeffrey L. Elman, Terrence J. Sejnowski — Connectionist Models. Proceedings of the 1990 Summer School

Ming Zhang, Ming Zhang — Artificial Higher Order Neural Networks for Economics and Business

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S. G. Tzafestas (auth.), Spyros G. Tzafestas (eds.) — Methods and Applications of Intelligent Control

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