Arama Sonuçları - ((teaching machine) OR (teaching machines)).

The time machine / Yazar: Maule, David

Machines / Yazar: DeLeon, Abraham P.

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The time machine / Yazar: Wells, H. G.

Generative deep learning : Teaching machines to paint, write, compose, and play / Yazar: Foster, David

Teaching Learning Based Optimization Algorithm And Its Engineering Applications / Yazar: Rao, R. Venkata

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Explorations in the History of Machines and Mechanisms Proceedings of the Fifth IFToMM Symposium on the History of Machines and Mechanisms /

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Explorations in the History and Heritage of Machines and Mechanisms Proceedings of the 2018 HMM IFToMM Symposium on History of Machines and Mechanisms /

İçindekiler: “…Sohail Pervez et al. -- Modeling an Antique Grinding Mill of Guanajuato Silver Mines, by Juan Jauregui et al. -- The Hydraulic Tilt Hammer in Ancient China, by Xiaolei Shi -- Reconstruction andAnalysis of Zhan's Sand Clock in the 14th Century, by Yu-Hsun Chen Hong-Sen Yan -- Exploration of Ancient Machinery: From Reconstruction Research to Exhibition and Science Education, by Jian-Liang Lin et al -- Relationships between paper mills and technological evolution of paper production, by Silvia Gargaro et al -- Light drawings: representation and design, by Emanuela Chiavoni -- Chapter 3: Ancient mechanisms -- Mechanisms in Heron's automata as technological transfer and cultural means, by Roberto Bragastini -- Analysis and reconstruction of a platform with ball bearings in Roman ships of Nemi lake, by Pier Gabriele Molari et al. -- Application and Influence of Flap Valve Mechanism on Ancient Bellows, by Xing Huang, Lingfeng Li -- Mechanisms 26 and 30 of "the book of secrets" of Ibn Khalaf Al-Muradi, by Rafael López-García et al. -- The astrolabe: a mechanism for reading the stars, by Barbara Aterini -- Mathematical Instruments used in the Military Engineering Academies of Ottomans, by IremAslan Seyhan -- Chapter 4: History of modern technology -- Transfer of Modern High Draft Technology to China, by Xuan Su -- A Brief Introduction to the Steam Locomotives Made in China, by Zhizhong Zhang -- From the Unimate to the Delta robot: the early decades of Industrial Robotics, by AlessandroGasparetto -- Towards GIM, the Global Intelligent Machine, by Teun Koetsier -- Historical development of BHR humanoid robots, by Qiang Huang et al. -- Teaching Wonder (from 3rd century BCE to 21st century CE) , by Nadia Ambrosetti -- The scientific background of the Russian Revolution, by Agamenon Oliveira.…”
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Mechatronics and Machine Vision in Practice 3

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New Advances in Mechanism and Machine Science Proceedings of The 12th IFToMM International Symposium on Science of Mechanisms and Machines (SYROM 2017) /

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Machine Learning Control - Taming Nonlinear Dynamics and Turbulence Yazar: Duriez, Thomas, Brunton, Steven L., Noack, Bernd R.

İçindekiler: “…Preface -- 1 Introduction -- 1.1 Feedback in engineering and living systems -- 1.2 Benefits of feedback control -- 1.3 Challenges of feedback control -- 1.4 Feedback turbulence control is a grand challenge problem -- 1.5 Nature teaches us the control design -- 1.6 Outline of the book -- 1.7 Exercises -- 2 Machine learning control (MLC) -- 2.1 Methods of machine learning -- 2.2 MLC with genetic programming -- 2.3 Examples -- 2.4 Exercises -- 2.5 Suggested reading -- 2.6 Interview with Professor Marc Schoenauer -- 3 Methods of linear control theory -- 3.1 Linear systems -- 3.2 Full-state feedback -- Linear quadratic regulator (LQR) -- 3.3 Sensor-based state estimation -- Kalman filtering -- 3.4 Sensor-based feedback -- Linear quadratic Gaussian (LQG) -- 3.5 System Identification and Model Reduction -- 3.6 Exercises -- 3.7 Suggested reading -- 4 Benchmarking MLC against linear control -- 4.1 Comparison of MLC with LQR on a linear oscillator -- 4.2 Comparison of MLC with Kalman filter on a noisy linear oscillator -- 4.3 Comparison of MLC with LQG for sensor-based feedback -- 4.4 Modifications for small nonlinearity -- 4.5 Exercises -- 4.6 Interview with Professor Shervin Bagheri -- 5 Taming nonlinear dynamics with MLC -- 5.1 Generalized mean-field system -- 5.2 Machine learning control -- 5.3 Derivation outline for the generalized mean-field model -- 5.4 Alternative control approaches -- 5.5 Exercises -- 5.6 Suggested reading -- 5.7 Interview with Professor Mark N. …”
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State-Space Approaches for Modelling and Control in Financial Engineering Systems theory and machine learning methods / Yazar: Rigatos, Gerasimos G.

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Industrializing Additive Manufacturing - Proceedings of Additive Manufacturing in Products and Applications - AMPA2017

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Robotics Yazar: Mihelj, Matjaž, Bajd, Tadej, Ude, Aleš, Lenarčič, Jadran, Stanovnik, Aleš, Munih, Marko, Rejc, Jure, Šlajpah, Sebastjan

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Additive Manufacturing - Developments in Training and Education

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Mechanical Properties and Working of Metals and Alloys Yazar: Bhaduri, Amit

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Advances on Mechanics, Design Engineering and Manufacturing II Proceedings of the International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing (JCM 2018...

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Theory of Vibration Protection Yazar: Karnovsky, Igor A., Lebed, Evgeniy

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Plasticity and Fracture Yazar: Brocks, Wolfgang

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Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, Volume 8 Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016 /

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Advances in Communication of Design Proceedings of the AHFE 2017 International Conference on Human Factors in Communication of Design, July 17−21, 2017, The Westin Bonaventure Hote...

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