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.