
Industrial Applications of Neural Networks
CRC Press
1st Edition
Published on 28. October 1998
Book
Hardback
320 pages
978-0-8493-9802-5 (ISBN)
Description
Industrial Applications of Neural Networks explores the success of neural networks in different areas of engineering endeavors. Each chapter shows how the power of neural networks can be exploited in modern engineering applications.
The first seven chapters focus on image processing as well as industrial or manufacturing perspectives. Topics discussed include:
shape recognition
shape from shading
aircraft detection in SAR images
visualization of high-dimensional data bases of industrial systems
3-D object learning and recognition from multiple 2-D views
fingerprint classification
performance optimization in flexible manufacturing systems
The remaining chapters address issues and applications in the expansive area of multimedia communications as well as mobile and cellular communications.
The first seven chapters focus on image processing as well as industrial or manufacturing perspectives. Topics discussed include:
shape recognition
shape from shading
aircraft detection in SAR images
visualization of high-dimensional data bases of industrial systems
3-D object learning and recognition from multiple 2-D views
fingerprint classification
performance optimization in flexible manufacturing systems
The remaining chapters address issues and applications in the expansive area of multimedia communications as well as mobile and cellular communications.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Professional
Dimensions
Height: 234 mm
Width: 156 mm
Weight
607 gr
ISBN-13
978-0-8493-9802-5 (9780849398025)
Schweitzer Classification
Content
On-Line Shape Recognition with Incremental Training Using Neural Networks with Binary Synaptic Weights. Neural Network Approaches to Shape from Shading. Neural Networks and Fuzzy Reasoning to Detect Aircraft in SAR Images. The Self-Organizing Map in Industry Analysis. A Self-Organising Architecture for Invariant 3-D Object Learning and Recognition from Multiple 2-D Views. Industrial Applications of Hierarchical Neural Networks: Character Recognition and Finger Print Classification. Neural Networks for Performance Optimization in Flexible Manufacturing Systems. Channel Assignment in Mobile Communication Networks - A Computational Intelligence Approach. Application of Cellular Compact Neural Networks in Digital Communications. Neural Networks for Process Scheduling in Communications Systems.
NTI/Sales Copy
NTI/Sales Copy