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One of the attractions of fuzzy logic is its utility in solving
many real engineering problems. As many have realised, the major
obstacles in building a real intelligent machine involve dealing
with random disturbances, processing large amounts of imprecise
data, interacting with a dynamically changing environment, and
coping with uncertainty. Neural-fuzzy techniques help one to solve
many of these problems. Fuzzy Logic and Intelligent Systems
reflects the most recent developments in neural networks and fuzzy
logic, and their application in intelligent systems. In addition,
the balance between theoretical work and applications makes the
book suitable for both researchers and engineers, as well as for
graduate students.
During the past few years, we have been witnessing the rapid growth
of the ap plications of Interactive Digital Video, Multimedia
Computing, Desktop Video Teleconferencing, Virtual Reality, and
High Definition Television (HDTV). An other information revolution
which is tied to Cyberspace is almost within reach. The
information, data, text, graphics, video, sound, etc. , in the form
of multi media, can be requested, accessed, distributed, and
transmitted to potentially every household. This is changing and
will continue to change the way of people doing business,
functioning in the society, and entertaining. In the foreseeable
future, many personalized, portable information terminals, which
can be car ried while traveling, will provide the link to central
computer network to allow information exchange including videos
from a node to node, from a center to a node, or nodes. Facing this
opportunity, the question is what are the major significant
technical challenges that people have to solve to push
the-state-of-the-art for the realiza tion of the above mentioned
technology advancement? From our professional judgement We feel
that one of the major technical challenges is in Video Data
Compression. Video communications in the form of desktop
teleconferencing, videophone, network video delivery on demand,
even games, are going to be major media traveling in the
information super highway, hopping from one node in the Cyberspace
to the other.
During the past few years, we have been witnessing the rapid growth
of the ap plications of Interactive Digital Video, Multimedia
Computing, Desktop Video Teleconferencing, Virtual Reality, and
High Definition Television (HDTV). An other information revolution
which is tied to Cyberspace is almost within reach. The
information, data, text, graphics, video, sound, etc., in the form
of multi media, can be requested, accessed, distributed, and
transmitted to potentially every household. This is changing and
will continue to change the way of people doing business,
functioning in the society, and entertaining. In the foreseeable
future, many personalized, portable information terminals, which
can be car ried while traveling, will provide the link to central
computer network to allow information exchange including videos
from a node to node, from a center to a node, or nodes. Facing this
opportunity, the question is what are the major significant
technical challenges that people have to solve to push
the-state-of-the-art for the realiza tion of the above mentioned
technology advancement? From our professional judgement We feel
that one of the major technical challenges is in Video Data
Compression. Video communications in the form of desktop
teleconferencing, videophone, network video delivery on demand,
even games, are going to be major media traveling in the
information super highway, hopping from one node in the Cyberspace
to the other."
One of the attractions of fuzzy logic is its utility in solving
many real engineering problems. As many have realised, the major
obstacles in building a real intelligent machine involve dealing
with random disturbances, processing large amounts of imprecise
data, interacting with a dynamically changing environment, and
coping with uncertainty. Neural-fuzzy techniques help one to solve
many of these problems. Fuzzy Logic and Intelligent Systems
reflects the most recent developments in neural networks and fuzzy
logic, and their application in intelligent systems. In addition,
the balance between theoretical work and applications makes the
book suitable for both researchers and engineers, as well as for
graduate students.
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