Su-Shing Chen – författare

Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.

Advances in Computational Algorithms and Data Analysis offers state of the art  tremendous advances in computational algorithms and data analysis. The selected articles are representative in these subjects sitting on the top-end-high technologies. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.

Although there has been a great deal of research and development of linguisitic and symbolic knowledge-based systems, spatial reasoning has emerged as an independent field. Previously, problems related to space and time were separately considered in computer graphics, computer vision, image processing, robotics, computer-integrated manufacturing, computational complexity, spatial databases, natural language processing, cognitive science, and expert status of fundamental issues and problems.

Although there has been a great deal of research and development of linguisitic and symbolic knowledge-based systems, spatial reasoning has emerged as an independent field. Previously, problems related to space and time were separately considered in computer graphics, computer vision, image processing, robotics, computer-integrated manufacturing, computational complexity, spatial databases, natural language processing, cognitive science, and expert status of fundamental issues and problems.

This volume demonstrates that the key to the modeling, diagnosis and control of the next generation manufacturing processes is to integrate knowledge-based systems with traditional techniques. An up-to-date study is given here of this relatively recent development.The book is for those working primarily with traditional techniques and those working in the knowledge-based systems field. Both sets of readers will find it to be a source of many specific ideas about the integration of knowledge-based systems with traditional techniques, and carrying a wealth of useful references.