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Neural Networks and Micromechanics [electronic resource] /by Ernst Kussul, Tatiana Baidyk, Donald C. Wunsch.

by Kussul, Ernst [author.]; Baidyk, Tatiana [author.]; Wunsch, Donald C [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.Description: x, 222 p. 128 illus. online resource.ISBN: 9783642025358.Subject(s): Computer science | Artificial intelligence | Computer vision | Optical pattern recognition | Machinery | Electronics | Computer Science | Artificial Intelligence (incl. Robotics) | Manufacturing, Machines, Tools | Image Processing and Computer Vision | Pattern Recognition | Control, Robotics, Mechatronics | Electronics and Microelectronics, InstrumentationDDC classification: 006.3 Online resources: Click here to access online
Contents:
Classical Neural Networks -- Neural Classifiers -- Permutation Coding Technique for Image Recognition System -- Associative-Projective Neural Networks (APNNs) -- Recognition of Textures, Object Shapes, and Handwritten Words -- Hardware for Neural Networks -- Micromechanics -- Applications of Neural Networks in Micromechanics -- Texture Recognition in Micromechanics -- Adaptive Algorithms Based on Technical Vision.
In: Springer eBooksSummary: This is an interdisciplinary field of research involving the use of neural network techniques for image recognition applied to tasks in the area of micromechanics. The book is organized into chapters on classic neural networks and novel neural classifiers; recognition of textures and object forms; micromechanics; and adaptive algorithms with neural and image recognition applications. The authors include theoretical analysis of the proposed approach, they describe their machine tool prototypes in detail, and they present results from experiments involving microassembly, and handwriting and face recognition. This book will benefit scientists, researchers and students working in artificial intelligence, particularly in the fields of image recognition and neural networks, and practitioners in the area of microengineering.
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Classical Neural Networks -- Neural Classifiers -- Permutation Coding Technique for Image Recognition System -- Associative-Projective Neural Networks (APNNs) -- Recognition of Textures, Object Shapes, and Handwritten Words -- Hardware for Neural Networks -- Micromechanics -- Applications of Neural Networks in Micromechanics -- Texture Recognition in Micromechanics -- Adaptive Algorithms Based on Technical Vision.

This is an interdisciplinary field of research involving the use of neural network techniques for image recognition applied to tasks in the area of micromechanics. The book is organized into chapters on classic neural networks and novel neural classifiers; recognition of textures and object forms; micromechanics; and adaptive algorithms with neural and image recognition applications. The authors include theoretical analysis of the proposed approach, they describe their machine tool prototypes in detail, and they present results from experiments involving microassembly, and handwriting and face recognition. This book will benefit scientists, researchers and students working in artificial intelligence, particularly in the fields of image recognition and neural networks, and practitioners in the area of microengineering.

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