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  • Neural Dynamics for Time-varying Problems

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    par Long Jin, Lin Wei, Xin Lv ...
    Collections series Artificial Intelligence (R0)
    This book mainly presents methods based on neural dynamics for the time-varying problems with applications, together with the corresponding theoretical analysis, simulative examples, and physical experiments. Based on these methods, their applications include motion planning of redundant manipulators, filter design, winner-take-all operation, multiple-input multiple-output system configuration, ... En savoir plus

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  • Advances in Neural Networks – ISNN 2025

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    Collections series Springer Nature Proceedings Computer Science
    This volume constitutes the refereed proceedings of the 19th International Symposium on Neural Networks, ISNN 2025, held in Zhangye, China, during August 22–24, 2025.The 52 full papers were carefully reviewed and selected from 60 submission. They were organized in topical sections as follows: Design, Modeling and Application of AI Algorithms; Signal, Image, and Video Processing; Modeling, Analysis ... En savoir plus

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  • Robot Control and Calibration

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  • Introduction to Network Traffic Flow Theory

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  • Protocol Design and Analysis for Cooperative Wireless Networks

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  • Competition-Based Neural Networks with Robotic Applications

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  • Robot Manipulator Redundancy Resolution

    Collections series Wiley-ASME Press Series
    Introduces a revolutionary, quadratic-programming based approach to solving long-standing problems in motion planning and control of redundant manipulatorsThis book describes a novel quadratic programming approach to solving redundancy resolutions problems with redundant manipulators. Known as ``QP-unified motion planning and control of redundant manipulators'' theory, it systematically solves ... En savoir plus

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  • Kinematic Control of Redundant Robot Arms Using Neural Networks

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    Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networksThis book presents and investigates different methods and schemes for the control of robotic arms whilst exploring the field from all angles. On a more specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical ... En savoir plus

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