This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data.
Computational intelligence refers to intelligence artiﬁcially realised through computation. Artiﬁcial intelligence emerged as a computer science discipline in the mid-1950s. Since then, it has produced a number of powerful tools, some of which are used in engineering to solve difﬁcult problems normally requiring human intelligence. Five of these tools are reviewed in this chapter with examples of applications in engineering and manufacturing: knowledge-based systems, fuzzy logic,
Suresh, Nallan C. "Neural Network Applications for Group Technology and Cellular Manufacturing" Computational Intelligence in Manufacturing Handbook Edited by Jun Wang et al Boca Raton: CRC Press LLC,2001
Neural Network Applications for Group Technology and Cellular Manufacturing
Nallan C. Suresh
State University of New York at Buffalo University of Groningen
4.1 4.2 4.3 4.4
Introduction Artiﬁcial Neural Networks A Taxonomy of Neural Network Application for GT/CM Conclusions
The grandest accomplishments of engineering took place in the twentieth century. The widespread development and distribution of electricity and clean water, automobiles and airplanes, radio and television, spacecraft and lasers, antibiotics and medical imaging, computers and the Internet are just some of the highlights from a century in which engineering revolutionized and improved virtually every aspect of human life. In this book, the authors provide a glimpse of the new trends of technologies pertaining to control, management, computational intelligence and network systems....