Christopher C. Yang; Daniel Zeng; Michael Chau; Kuiyu Chang; Qing Yang; Xueqi Cheng; Jue Wang; Fei-Yue Wang; Hsinc Chen Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2007) Pehmeäkantinen kirja
Daniel Zeng; Christopher C. Yang; Vincent S. Tseng; Chunxiao Xing; Hsinchun Chen; Fei-Yue Wang; Xiaolong Zheng Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2013) Pehmeäkantinen kirja
Computational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to achieve tractability, robustness and low solution cost, it becomes evident that composing methods of CI should be working concurrently rather than separately. It is this conviction that research on the synergism of CI paradigms has experienced significant growth in the last decade with some areas nearing maturity while many others remaining unresolved. This book systematically summarizes the latest findings and sheds light on the respective fields that might lead to future breakthroughs.