- Computer security and data mining
- Electrical power systems and large-scale plants
- Motor drives and tool wear monitoring
- User interfaces and the World Wide Web
- Aerospace and robust control
This must-have guide for practicing engineers, researchers, and R&D managers who wish to create or understand computationally intelligent hybrid systems is also an excellent primary source for graduate courses in soft computing, engineering applications of artificial intelligence, and related topics.