£107.98

Springer - Dynamic Neural Networks for Motion Control Book

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Description

Expand your technical knowledge with Dynamic Neural Networks for Motion Control of Redundant Manipulators. Published by Springer as part of the Intelligent Control and Learning Systems series (Volume 21), this academic text focuses on advanced concepts within the field of AI and Machine Learning. This book serves as a specialized resource for researchers and professionals studying computer science and intelligent systems. It addresses the specific complexities of motion control and neural network applications in robotic manipulation. By integrating theory with control system concepts, it provides a focused look at how intelligent systems manage redundant manipulators. Whether you are studying computer science or working in robotics research, this Springer publication offers a structured approach to understanding modern control methods. It is an essential addition to any technical library focused on machine learning and automated control systems.

Key Features

Part of the Intelligent Control and Learning Systems series, specifically volume 21.

Published by Springer, a recognized name in academic and technical literature.

Focuses on the application of neural networks to motion control problems.

Targets advanced topics in AI, machine learning, and redundant manipulators.

Provides specialized content for the computer science and robotics research community.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 October 2025
Listed Since
28 May 2025

Barcode

No barcode data available

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