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Stability Analysis and State Estimation of Memristive Neural Networks

popular yet interrelated areas, stability analysis and state estimation of neural networks Exploits a unified framework for analysis and;

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Advances in Neural Networks ISNN 2015

cover many topics of neural network-related research including intelligent control, neurodynamic analysis, memristive neurodynamics, computer;

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Stability Analysis of Neural Networks

mainly focuses on the qualitative stability analysis of continuous-time as well as discrete-time neural networks with delays by presenting the;

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Discrete-Time Neural Observers

Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete;

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Memristive Devices for Brain-Inspired Computing

Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage;

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Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part;

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Power Converters and Ac Electrical Drives With Linear Neural Networks

The first book of its kind, Power Converters and AC Electrical Drives with Linear Neural Networks systematically explores the application;

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Qualitative Analysis and Control of Complex Neural Networks with Delays

This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications;

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Advances in Neural Networks- ISNN 2013

, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics;

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Advances in Neural Networks- ISNN 2013

, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics;

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Power Converters And Ac Electrical Drives With Linear Neural

The first book of its kind, Power Converters and AC Electrical Drives with Linear Neural Networks systematically explores the application;

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Fuzzy Neural Networks for Real Time Control Applications

and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its;

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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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Stability and Synchronization Control of Stochastic Neural Networks

disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and;

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Stability and Synchronization Control of Stochastic Neural Networks

disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and;

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Fundamentals of Organic Neuromorphic Systems

different applications is presented. A comparative analysis of organic and inorganic systems is given. The author discusses all aspects of current;

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Linear Systems Theory

problem sets at the end of each chapter Illustrative examples in all the chapters An introduction and analysis of new stability concepts;

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Modeling in Mathematics

, dynamical analysis and chaos control of a discrete sis epidemic model, electricity market stochastic dynamic model and its mean stability analysis;

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Neural Networks and Qualitative Physics

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;

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Neural Networks And Qualitative Physics

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative;

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State of the Art in Neural Networks and Their Applications

studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted;

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Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

in Chapter 3. Chapter 4 deals with the problem of multilayer neural and neuro-fuzzy networks training with simultaneous estimation of the hidden and;

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Artificial Neural Networks

of ANNs for solar radiation estimation; the use of in silico methods to design and evaluate skin UV filters; a practical model based on the;

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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief;

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Complex-valued Neural Networks

Recent research indicates that complex-valued neural networks whose parameters (weights and threshold values) are all complex numbers are;

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Computer Aided State Estimation of Electric Power Networks

Computer Aided State Estimation of Electric Power Networks is a fundamental introduction to the topic of state estimation at an advanced;

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Cellular Neural Networks

of the book is to present the recent results in the basic concepts of dynamics, stability analysis and CNN models of some partial differential;

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