Ten contributions explore techniques and technologies for applying artificial neural networks to a range of engineering endeavors. Three of the articles are devoted to the areas of multimedia, cellular, and mobile communications. The remaining seven articles emphasize industrial or manufacturing image processing issues such as those related to shape recognition, shape from shading, aircraft detection in SAR images, visualization of high-dimensional databases of industrial systems, 3-D object learning and recognition from multiple 2-D views, and fingerprint identification in flexible manufacturing systems. Annotation c. by Book News, Inc., Portland, Or.
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.