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Robot Control using an Artificial Neural Network

artificial neural network type were considered. An introduction to learning and control structures using artificial neural networks were given. These;

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Kinematic Control of Redundant Robot Arms Using Neural Networks

networks whilst examining central topics surrounding the field, Kinematic Control of Redundant Robot Arms Using Neural Networks is an excellent;

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Neural Networks for Cooperative Control of Multiple Robot Arms

This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed;

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

stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the;

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Robot Manipulator Control

practical information on commercial robot manipulators and devices and cutting-edge methods in neural network control.;

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Neural Networks for Robotics

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost;

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Neural Networks for Robotics

The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost;

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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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Nonlinear Control Techniques for Robot Manipulators - Nonlinear Control of Mechatronic Systems with Applications in Robotics

redundant robot manipulators, ii) Neural network grasping controller for continuum robots, and iii) Coordination control for haptic and teleoperator;

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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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Artificial Vision and Language Processing for Robotics

Create end-to-end systems that can power robots with artificial vision and deep learning techniques Key Features Study ROS, the main;

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Prediction of Vibrations & Cutting force of single point cutting tool in turning by using Artificial Neural Network

Prediction of Vibrations & Cutting Force of Single Point Cutting Tool in Turning by Using Artificial Neural Network is een boek van Matin;

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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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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural;

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Knowledge-Based Neurocomputing

of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence;

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New Developments In Artificial Neural Networks Research

neural network based visual servo system; modelling of computer-assisted learning using artificial neural networks; prediction of hole quality;

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Human-Robot Interaction Control Using Reinforcemen t Learning

of robotics, learning control systems, neural networks, and computational intelligence, Human-Robot Interaction Control Using Reinforcement Learning;

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Neural Networks for Complete Beginners

This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;

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Focus on Artificial Neural Networks

This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;

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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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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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Artificial Neural Networks - ICANN 2009

and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing;

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New Developments in Computer Networks

of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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