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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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Artificial Neural Networks

. Section 4 focuses on the application of artificial neural networks in modeling and control applications, describing: course control of under;

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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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Advances in Neural Networks - ISNN 2016

; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural;

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Engineering Applications of Neural Networks

; intelligent telecommunications modeling; fuzzy modeling; robotics and control; smart cameras; pattern recognition-facial mapping; classification;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to;

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Intelligent Force and Position Control of 6-DOF Robot Manipulator

The application of Artificial Neural Networks in force and position control systems has increased in recent years, because such usage does;

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Blind Equalization in Neural Networks

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms;

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Recent Progress in Artificial Neural Networks

Artificial neural networks (ANNs) are computing systems that are motivated by the design and functioning of biological neural networks. Its;

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A Comprehensive Guide to Neural Network Modeling

of artificial neural networks in food engineering are presented, particularly focusing on control, monitoring and modelling of industrial food processes;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition;

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Network Models for Control and Processing

related fields. These cover: control processes, modelling features and operations of biological neural networks and neurons, simulation;

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Focus on Artificial Neural Networks

; evidences of new biophysical properties of microtubules; neural network applications in modern induction machine control systems and wavelet neural;

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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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Artificial Neural Networks for Engineering Applications

computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time;

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Stability and Synchronization Control of Stochastic Neural Networks

synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks;

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Stability and Synchronization Control of Stochastic Neural Networks

synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise;

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Neural Networks for Cooperative Control of Multiple Robot Arms

is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.;

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Industrial Intelligent Control

, architectures and algorithms of automatic control systems. The author summarizes several current concepts to improve industrial control systems;

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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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Neural Networks and Qualitative Physics

physics. Professor Aubin makes use of control and viability theory in neural networks and cognitive systems, regarded as dynamical systems;

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Neural Networks And Qualitative Physics

physics. Professor Aubin makes use of control and viability theory in neural networks and cognitive systems, regarded as dynamical systems;

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Artificial Neural Networks in Food Processing

comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control;

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