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Bifurcation and Nonlinear Dynamics in Neural Network

dynamics and chaos into neural networks. In this book, a new type of neural network is introduced based on the nonlinear dynamics and chaos;

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Neural Networks Theory

, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized;

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Neural Network Models

Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way;

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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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Bifurcation Dynamics in Polynomial Discrete Systems

discusses the general mathematical conditions of bifurcations in polynomial nonlinear discrete systems, as well as appearing and switching;

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Bifurcation Dynamics in Polynomial Discrete Systems

discusses the general mathematical conditions of bifurcations in polynomial nonlinear discrete systems, as well as appearing and switching;

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Introduction to Nonlinear Aeroelasticity

to supersonic panel flutter. * Discusses nonlinear dynamics, bifurcation analysis, numerical continuation, unsteady aerodynamics and non;

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Bifurcation and Stability in Nonlinear Discrete Systems

This book focuses on bifurcation and stability in nonlinear discrete systems, including monotonic and oscillatory stability. It presents;

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Nonlinear & Complex Systems

Hopf bifurcation of nonlinear dynamic systems. It will include the examples of the Hopf bifurcation as applied to neural networks and;

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Bifurcation and Stability in Nonlinear Dynamical Systems

This book systematically presents a fundamental theory for the local analysis of bifurcation and stability of equilibriums in nonlinear;

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Nonlinear Dynamics

problems in all areas of physics. The selection of topics emphasizes bifurcation theory and topological analysis of dynamical systems. The book;

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Nonlinear Dynamics

problems in all areas of physics. The selection of topics emphasizes bifurcation theory and topological analysis of dynamical systems. The book;

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Bifurcation Dynamics of a Damped Parametric Pendulum

motion (static equilibriums) to chaos, and period-m motions to chaos (m = 1, 2, , 6, 8, , 12). The aforesaid bifurcation trees of periodic;

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Bifurcation Dynamics of a Damped Parametric Pendulum

analysis. Harmonic frequency-amplitude characteristics of such bifurcation trees are also presented to show motion complexity and nonlinearity;

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Nonlinear Economic Models Crosssectional, Time Series and Neural Network Applications

of exchange rate dynamics and jump processes, and artificial neural network and genetic algorithm models of financial markets. Attention is given to;

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Nonlinear Science and Complexity

in Nonlinear Science * Nonlinear Hydrodynamics and Turbulence * Bifurcation and Stability in Nonlinear Dynamic Systems * Nonlinear Oscillations and;

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Information-Theoretic Aspects of Neural Networks

Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory;

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A Primer of Nonlinear Analysis

of motivational and illustrative applications, which indeed provide much of the justification of nonlinear analysis. In particular, they discuss;

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Discretization and Implicit Mapping Dynamics

nonlinear systems. The stability and bifurcation theory of fixed points in discrete nonlinear dynamical systems is reviewed, and the explicit and;

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Brits Speak Out

This work introduces concepts and algorithms in optimization theory for neural network research, covers the main neural network models and;

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Advanced Models of Neural Networks

This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by;

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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control;

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Nonlinear Dynamical Systems

nonlinear input-output maps The development of robust controllers and filters The capability of neural networks to approximate functions and dynamic;

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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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Nonlinear Symmetries and Nonlinear Equations

This text serves as an introduction to the use of nonlinear symmetries in studying, simplifying and solving nonlinear equations. Part One;

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Dynamics of a Mode-Locked Fiber Laser containing a Long-Period Grating

was conducted. The model was based on the complex Ginzburg-Landau equation and the nonlinear coupled mode equations of the grating. The numerical;

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Mathematical Modeling and Applications in Nonlinear Dynamics

, impulsive dichotomous linear systems, analytical bifurcation trees of periodic motions, and almost or pseudo- almost periodic solutions in nonlinear;

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