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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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Neural Network Perspectives on Cognition and Adaptive Robotics

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to;

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

robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with;

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Animal Learning and Cognition

of classical conditioning, Part II describes neural networks of operant conditioning, and animal communication, Part III discusses spatial and;

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Print Proceedings of the ASME 2015 Dynamic Systems and Control Conference (DSCC2015)

Printed collection on 94 full-length, peer reviewed technical papers. Topics include: Adaptive and Intelligent Systems Control;

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Soft Computing with NeuroFuzzy Systems

diagnosis system based on artificial neural network (ANN); reliability estimation of services oriented systems using adaptive neuro fuzzy inference;

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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control;

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Neural and Adaptive Systems

engineering, it unifies the concepts of neural networks and adaptive filters into a common framework. It begins by explaining the fundamentals;

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Handbuch der Künstlichen Intelligenz

include cognition, neural networks, machine learning, speech and image analysis, robotics, software agents, an;

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Neural Networks for Cooperative Control of Multiple Robot Arms

neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It;

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Artificial Adaptive Systems Using Auto Contractive Maps

used to analyze them. It subsequently describes artificial neural networks as a subclass of artificial adaptive systems, and reports on the;

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Deep Reinforcement Learning with Guaranteed Performance

control method based on the Taylor expansion, neural networks, estimator design approaches, and the idea of sliding mode control, focusing on the;

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Advancements in Mechatronics and Intelligent Robotics

engineering, prosthetics and artificial organs; artificial intelligence (AI), neural networks and fuzzy logic in mechatronics and robotics; industrial;

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Recent Developments in Mechatronics and Intelligent Robotics

engineering, prosthetics and artificial organs; artificial intelligence (AI), neural networks and fuzzy logic in mechatronics and robotics; industrial;

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Advances in Neural Networks - ISNN 2016

This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg;

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Artificial Neural Networks and Machine Learning ICANN 2020

The proceedings set LNCS 12396 and 12397 constitute the proceedings of the 29th International Conference on Artificial Neural Networks;

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Artificial Neural Networks and Machine Learning ICANN 2020

The proceedings set LNCS 12396 and 12397 constitute the proceedings of the 29th International Conference on Artificial Neural Networks;

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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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Neural Network Control of Nonlinear Discrete-Time Systems

neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control;

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The Architecture of Cognition

and embodied cognition, ecological psychology, enactivism, adaptive behavior, and biologically based neural network theory. This volume;

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Perceptual and Emotional Embodiment

volume with an overview of theoretical perspectives and the neural basis of embodiment, before part two considers body representation and its;

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Perceptual and Emotional Embodiment

volume with an overview of theoretical perspectives and the neural basis of embodiment, before part two considers body representation and its;

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Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;

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AI 2006: Advances in Artificial Intelligence

agents, cognition and user interface, vision and image processing, natural language processing and Web intelligence, neural networks, robotics;

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Icann 98

ICANN, the International Conference on Artificial Neural Networks, is the official conference series of the European Neural Network Society;

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Simulating Neural Networks with Mathematica

This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers;

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End-to-End Adaptive Congestion Control in TCP/IP Networks

and introductory material on dynamic systems stability and neural network approximation; alongside future internet requests for congestion;

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