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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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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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Adaptive Neural Control of Walking Robots

An important title in the Engineering Research Series Adaptive Neural Control of Walking Robots brings together two important areas;

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Neural Control Engineering

control engineering in the late 1990s has made the intersection of control theory and neuroscience possible. In Neural Control Engineering, Steven;

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Neural Engineering

is written by leading scholars in the field. The book covers neural bioelectrical measurements and sensors, EEG signal processing, brain-computer;

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

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to;

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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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Brain-Machine Interaction Engineering

Neural interfaces are one of the most exciting emerging technologies to impact bioengineering and neuroscience because they enable an;

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Handbook of Neural Engineering

, learning memory and behavior, biological neural networks, and neural control;

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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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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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Advanced Rehabilitative Technology

musculoskeletal models and establish the neural interfaces, and how to develop neural devices and control them efficiently using biological signals. The;

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Recent Advances in Intelligent Engineering

This book gathers contributions on fuzzy neural control, intelligent and non-linear control, dynamic systems and cyber-physical systems. It;

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Advanced Control Engineering

date aspects such as robust and intelligent control, including neural networks and genetic algorithms. With examples from;

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Analysis and Control of Coupled Neural Networks with Reaction Diffusion Terms

This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a;

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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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Advances in Neural Networks - ISNN 2018

many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical;

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Engineering Applications of Neural Networks

This book constitutes the refereed proceedings of the 16th International Conference on Engineering Applications of Neural Networks, EANN;

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Computational Intelligence

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;

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Recent Advances in Intelligent Control Systems

according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions;

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A First Course in Fuzzy and Neural Control

given situation. A First Course in Fuzzy and Neural Control is designed to build the foundation needed to make those decisions. It begins;

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Artificial Neural Networks for Engineering Applications

Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that;

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Neural Networks and Analog Computation: Beyond the Turing Limit

The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer;

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Neuroengineering

using the fundamentals of neural networks, neural relations and nervous system functions, devices that can control and interpret signals and;

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Optimization and Control Methods in Industrial Engineering and Construction

This book presents recent advances in optimization and control methods with applications to industrial engineering and construction;

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