The Second International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA), December 12-14, 2017, Hualien, Taiwan.

Intelligent computing is always defined as advanced computing techniques and models based on computational intelligence theory, systems and applications. Basically, various practical issues such as performance, reliability and usability make intelligent computing an inevitable choice for implementation of complicated systems and applications. These systems and applications mostly involve hardware facilities and software architectures with dramatically different computing power, resource constraints, and workflow designs, thus demanding highly integration of various considerations in an efficient mode. The typical methods of intelligent computing primarily include neural networks, fuzzy logic and evolutionary computing.
More recently, many "intelligent" products and items have been proposed to enable the integration of variety of disciplines, a much less attention is given on the design and implementation of intelligent systems and infrastructures in real applications. Without real implementation, it is difficult to evaluate the intelligence degrees of existing techniques, models and discover further issues for additional improvement.

This conference features all recent advances in an integral concept that highlights the trends in advanced computational intelligence theory, systems and applications.