Neural Networks and Micromechanics

• Main Authors: Kussul, Ernst. (Author), Baidyk, Tatiana. (Author), Wunsch, Donald C. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Subjects: 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, Instrumentation.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-02535-8

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; m...

Table of Contents:

• Introduction
• Classical Neural Networks
• Neural Classifiers
• A Permutation Coding Technique for an Image Recognition System
• Associative-Projective Neural Networks
• 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
• Conclusions
• References.