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Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;

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Nonlinear Dynamical Systems

issues. An up-to-date and authoritative look at the ever-widening technical boundaries and influence of neural networks in dynamical systems;

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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural;

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Neural Network Control of Nonlinear Discrete-Time Systems

. Progressive Development After an introduction to neural networks, dynamical systems, control of nonlinear systems, and feedback linearization, the;

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Dynamical Systems in Applications

dynamic load; experimental evaluation of mathematical and artificial neural network modeling for energy storage systems; interaction of bridge;

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Qualitative Analysis and Control of Complex Neural Networks with Delays

explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics;

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Wavelet Neural Networks

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications;

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Advances in Neural Networks - ISNN 2016

cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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Advanced Models of Neural Networks

with neural networks and dynamical systems theory.;

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Neural Network Modeling

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network;

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Building Neural Networks

network applications, the book demonstrates the construction and operation of artificial neural systems. Through numerous examples, the author;

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Gas Turbines Modeling, Simulation, and Control

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the;

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Gas Turbines Modeling, Simulation, and Control

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the;

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Multi model Jumping Systems Robust Filtering and Fault Detection

combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite;

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Neural Network Control Of Robots And Nonlinear Systems

. The first chapter provides a background on neural networks and the second on dynamical systems and control. Chapter three introduces the robot;

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Modeling And Computations In Dynamical Systems

combination of theoretical and applied research in areas such as geometric integration, neural networks, linear programming, dynamical astronomy;

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Network-Based Analysis of Dynamical Systems

of dynamical systems. Representing the system as a mathematical graph allows several network-based methods to be applied, and centrality and clustering;

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Advances in Computational Intelligence

; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and;

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Advances in Computational Intelligence

; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and;

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Flight Mechanics Modeling and Analysis

Covers flight mechanics, flight simulation, flight testing, flight control, and aeroservoelasticity. Features artificial neural network and;

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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with;

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Artificial Neural Networks

-layered learning network based on simple math rules. The structure of an artificial neural network consists of an input layer, an output layer and;

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Stability and Control of Large-Scale Dynamical Systems

Modern complex large-scale dynamical systems exist in virtually every aspect of science and engineering, and are associated with a wide;

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Application Of Dimensional Analysis In Systems Modeling And

include dimensional analysis and dimensional similarity, dynamical systems dimensionless representation, dimensionless systems identification and;

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