Advances In Computational Intelligence: Theory And Applications
by Derong Liu /
2006 / English / PDF
18.7 MB Download
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.
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.
