"Physics-Informed Neural Networks" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Neural Networks and Qualitative Physics: A Viability Approach	Jean-Pierre Aubin	1996-03	Cambridge University Press
Neural Networks	Herve Abdi; Dominique Valentin; Betty Edelman	December 1998	SAGE Publications, Inc
Neural Networks	E. Gelenbe	1992	North-Holland
Neural Networks	Eric Davalo, Patrick Naïm (auth.)	1991	Macmillan Education UK
Neural networks /	Abdi, Hervé.; Valentin, Dominique.; Edelman, Betty.	[1999], ©1999.	Sage Publications,
Neural networks	Philip Picton	2000	Palgrave
Neural Modeling and Neural Networks	F. Ventriglia	1994	Pergamon
Replication of Chaos in Neural Networks, Economics and Physics	Marat Akhmet; Mehmet Onur Fen	1st ed. 2015	Springer Berlin Heidelberg
Constructive Neural Networks	Leonardo Franco; José M. Jerez	2010	Springer Berlin Heidelberg
Neural Networks Theory	Alexander I. Galushkin	2007	Springer Berlin Heidelberg
Optical Neural Networks	Cornelia Denz	1998	Vieweg+Teubner Verlag
Artificial Neural Networks	Hugh Cartwright	2nd ed. 2015	Springer New York
Artificial Neural Networks	Hugh Cartwright	3rd ed. 2021	Springer US
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
39. Neural Networks	John G. Webster (Editor)	1999	Wiley
Recurrent Neural Networks
Pulsed Neural Networks	Wolfgang Maass; Christopher M. Bishop	1998	MIT Press,
Pyramidal neural networks /	Bischof, Horst.	1995.	Lawrence Erlbaum Associates,
Building neural networks /	Skapura, David M.	1996.	Addison-Wesley,
Digital neural networks /	Kung, S. Y.	[1993], ©1993.	PTR Prentice Hall,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Physics-Informed Neural Networks	Stefan Kollmannsberger; Davide D’Angella; Moritz Jokeit; Leon Herrmann	Deep Learning in Computational Mechanics: An Introductory Course	Stefan Kollmannsberger; Davide D'Angella; Moritz Jokeit; Leon Herrmann	1st ed. 2021	Springer International Publishing
Adaptive Training Strategies for Physics-Informed Neural Networks	Sifan Wang; Paris Perdikaris	Knowledge-Guided Machine Learning: Accelerating Discovery Using Scientific Knowledge and Data	Anuj Karpatne; Ramakrishnan Kannan; Vipin Kumar	2022	Routledge
Exploring Physics-Informed Neural Networks for Compressible Flow Prediction	M. Chaudhari; I. Kulkarni; M. Damodaran	Proceedings of 16th Asian Congress of Fluid Mechanics	L. Venkatakrishnan; Sekhar Majumdar; Ganesh Subramanian; G. S. Bhat; Ratul Dasgupta; Jaywant Arakeri	1st ed. 2021	Springer Nature Singapore
Peridynamics for Physics Informed Neural Network	Erdogan Madenci; Pranesh Roy; Deepak Behera	Advances in Peridynamics	Erdogan Madenci; Pranesh Roy; Deepak Behera	1st ed. 2022	Springer International Publishing
Statistical Physics of Neural Networks	David Sherrington	Physics of Biomaterials: Fluctuations, Selfassembly and Evolution	T. Riste; David Sherrington	1996	Springer Netherlands
Nuclear physics with neural networks	Klaus A. Gernoth	Scientific Applications of Neural Nets: Proceedings of the 194th W. E. Heraeus Seminar Held at Bad Honnef, Germany, 11–13 May 1998	John W. Clark; Thomas Lindenau; Manfred L. Ristig	1999	Springer Berlin Heidelberg
Efficient Physics Informed Neural Networks Coupled with Domain Decomposition Methods for Solving Coupled Multi-physics Problems	Long Nguyen; Maziar Raissi; Padmanabhan Seshaiyer	Advances in Computational Modeling and Simulation	Rallapalli Srinivas; Rajesh Kumar; Mainak Dutta	1st ed. 2022	Springer Nature Singapore
Physics-Informed Learning Machines for Partial Differential Equations: Gaussian Processes Versus Neural Networks	Guofei Pang; George Em Karniadakis	Emerging Frontiers in Nonlinear Science	Panayotis G. Kevrekidis; Jesús Cuevas-Maraver; Avadh Saxena	1st ed. 2020	Springer International Publishing
Application of Neural Networks in Astroparticle Physics	Markus Roth	Nuclei Far from Stability and Astrophysics	Dorin N. Poenaru; Heinigerd Rebel; Jürgen Wentz	2001	Springer Netherlands
Physics Informed Neural Network for Spatial-Temporal Flood Forecasting	Ragini Bal Mahesh; Jorge Leandro; Qing Lin	Climate Change and Water Security: Select Proceedings of VCDRR 2021	Sreevalsa Kolathayar; Arpita Mondal; Siau Chen Chian	1st ed. 2022	Springer Nature Singapore
Physics-Informed Echo State Networks for Chaotic Systems Forecasting	Nguyen Anh Khoa Doan; Wolfgang Polifke; Luca Magri	Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV	João M. F. Rodrigues; Pedro J. S. Cardoso; Jânio Monteiro; Roberto Lam; Valeria V. Krzhizhanovskaya; Michael H. Lees; Jack J. Dongarra; Peter M.A. Sloot	1st ed. 2019	Springer International Publishing
Neural Networks	Marjan Tušar; Jure Zupan	Software Development in Chemistry 4: Proceedings of the 4th Workshop “Computers in Chemistry” Hochfilzen, Tyrol, November 22–24, 1989	Johann Gasteiger	1990	Springer Berlin Heidelberg
Neural Networks		Embedded Robotics: Mobile Robot Design and Applications with Embedded Systems	Thomas Bräunl	2nd ed. 2006	Springer Berlin Heidelberg
Neural Networks	Oliver Nelles	Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models	Oliver Nelles	2001	Springer Berlin Heidelberg
Neural Networks	Zbigniew Michalewicz; David B. Fogel	How to Solve It: Modern Heuristics	Zbigniew Michalewicz; David B. Fogel	2nd ed. 2004	Springer Berlin Heidelberg
Neural Networks	Alexander S. Mikhailov	Foundations of Synergetics I: Distributed Active Systems	Alexander S. Mikhailov	2nd ed. 1990	Springer Berlin Heidelberg
Neural Networks	Yorick Hardy; Willi-Hans Steeb	Classical and Quantum Computing: with C++ and Java Simulations	Yorick Hardy; Willi H. Steeb	2001	Birkhäuser Basel
Neural Networks		Encyclopedia of Biophysics	Gordon Roberts	2013	Springer Berlin Heidelberg
Neural Networks	Thomas Bräunl	Embedded Robotics: Mobile Robot Design and Applications with Embedded Systems	Thomas Bräunl	2003	Springer Berlin Heidelberg
Neural Networks	Baoding Liu	Theory and Practice of Uncertain Programming	Baoding Liu	2002	Physica-Verlag HD
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries