Neural Networks Modeling and Control : Applications for Unknown Nonlinear Delayed Systems in Discrete Time

Neural Networks Modeling and Control : Applications for Unknown Nonlinear Delayed Systems in Discrete Time

Enregistré dans:

Détails bibliographiques
Auteur principal:	Rios, Jorge D.. (Auteur)
Autres auteurs:	Alanis, Alma Y. (19..-....). (Auteur), Arana-Daniel, Nancy (19..-....)., López-Franco, Carlos (19..-....).
Support:	E-Book
Langue:	Anglais
Publié:	San Diego, CA : Elsevier Science, 2020.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Fuzzy neural networks for real time control applications : concepts, modeling and algorithms for fast learning
par: Kayacan, Erdal (19..-....).
Publié: (2015)

Neural Network Modeling and Identification of Dynamical Systems
par: Tiumentsev, Yury.
Publié: (2019)

Hands-On Neural Networks : Learn how to build and train your first neural network model using Python
par: De Marchi, Leonardo.
Publié: (2019)

Introduction to Neural Networks
par: Gurney, Kevin.

Neural Networks in Finance : Gaining Predictive Edge in the Market
par: McNelis, Paul D..
Publié: (2004)

Artificial neural networks for engineering applications
par: Alanis, Alma Y. (19..-....).
Publié: (2019)

Neural Network for Beginners : Build Deep Neural Networks and Develop Strong Fundamentals using Python's NumPy, and Matplotlib
par: Klaas, Sebastian.

Hands-on neural network programming with C# : add powerful neural network capabilities to your C# enterprise applications
par: Cole, Matt R..
Publié: (2018)

Neural networks with R : smart models using CNN, RNN, deep learning, and artificial intelligence principles
par: Ciaburro, Giuseppe (19..-....).
Publié: (2017)

Hands-On Neural Networks with Keras : Design and create neural networks using deep learning and artificial intelligence principles
par: Purkait, Niloy.
Publié: (2019)

Practical convulational neural networks : implement advanced deep learning models using Python
par: Sewak, Mohit (19..-..).
Publié: (2018)

Neural Network Projects with Python : The ultimate guide to using Python to explore the true power of neural networks through six projects
par: Loy, James.
Publié: (2019)

Modeling Neural Development
par: Van Ooyen, Arjen (19..-....).

Neural network programming with TensorFlow
par: Ghotra, Manpreet Singh.
Publié: (2017)

Neural and Fuzzy Logic Control of Drives and Power Systems
par: Cirstea, M. N..

Hands-on convolutional neural networks with TensorFlow : solve computer vision problems with modeling in TensorFlow and Python
Publié: (2018)

Artificial Intelligence in the Age of Neural Networks and Brain Computing
par: Kozma, Robert B..
Publié: (2018)

Recurrent neural networks with Python quick start guide : sequential learning and language modeling with TensorFlow
par: Kostadinov, Simeon.
Publié: (2018)

Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks
par: Galeone, Paolo.
Publié: (2019)

Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
par: Kishore Ayyadevara, V..
Publié: (2019)

Network and discrete location : models, algorithms, and applications
par: Daskin, Mark S. (1952-....).
Publié: (2014)

Hands-On Graph Neural Networks Using Python : Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch
par: Labonne, Maxime.

Neural Network Computer Vision with OpenCV 5 : Build computer vision solutions using Python and DNN module
par: Krishna Nuti, Gopi.

Estimation and control of large-scale networked systems
par: Zhou, Tong.
Publié: (2018)

Stability and Controls Analysis for Delay Systems
par: Wang, JinRong (19..-....).

Modeling and control of drug delivery systems
par: Azar, Ahmad Taher.

Distributed control of robotic networks : a mathematical approach to motion coordination algorithms
par: Martínez, Sonia (1974-....).
Publié: (2009)

Control Theory : Multivariable and Nonlinear Methods
par: Glad, Torkel (1947-....).
Publié: (2000)

Handbook of neural computation
par: Samui, Pijush (19..-....).
Publié: (2017)

Malware diffusion models for modern complex networks : theory and applications
par: Karyotis, Vasileios.
Publié: (2016)

Reliability modelling and analysis in discrete time
par: Nair, Unnikrishnan.
Publié: (2018)

Computational Methods for Modeling of Nonlinear Systems
par: Torokhti, Anatoli.

Modeling brain function : the world of attractor neural networks
par: Amit, Daniel J., 1938-
Publié: (1989)

Intelligent coordinated control of complex uncertain systems for power distribution network reliability
par: Meng, Xiangping.
Publié: (2015)

Analysis and control of polynomial dynamic models with biological applications
par: Magyar, Attila.
Publié: (2018)

Adaptive learning methods for nonlinear system modeling
par: Comminiello, Danilo.
Publié: (2018)

Modeling, dynamics, and control of electrified vehicles
par: Du, Haiping.
Publié: (2017)

Modelling, simulation and control of the dyeing process
par: Shamey, Renzo (19..-....).
Publié: (2014)

Practical Design and Application of Model Predictive Control : MPC for MATLAB® and Simulink® Users
par: Khaled, Nassim.
Publié: (2018)

Modeling and simulation of discrete event systems
par: Choi, JByoung Kyu.
Publié: (2014)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1