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Books > Computing & IT > Applications of computing > Artificial intelligence
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Multidisciplinary Approaches to Neural Computing (Hardcover, 1st ed. 2018)
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Multidisciplinary Approaches to Neural Computing (Hardcover, 1st ed. 2018)
Series: Smart Innovation, Systems and Technologies, 69
Expected to ship within 10 - 15 working days
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This book presents a collection of contributions in the field of
Artificial Neural Networks (ANNs). The themes addressed are
multidisciplinary in nature, and closely connected in their
ultimate aim to identify features from dynamic realistic signal
exchanges and invariant machine representations that can be
exploited to improve the quality of life of their end users.
Mathematical tools like ANNs are currently exploited in many
scientific domains because of their solid theoretical background
and effectiveness in providing solutions to many demanding tasks
such as appropriately processing (both for extracting features and
recognizing) mono- and bi-dimensional dynamic signals, solving
strong nonlinearities in the data and providing general solutions
for deep and fully connected architectures. Given the
multidisciplinary nature of their use and the interdisciplinary
characterization of the problems they are applied to - which range
from medicine to psychology, industrial and social robotics,
computer vision, and signal processing (among many others) - ANNs
may provide a basis for redefining the concept of information
processing. These reflections are supported by theoretical models
and applications presented in the chapters of this book. This book
is of primary importance for: (a) the academic research community,
(b) the ICT market, (c) PhD students and early-stage researchers,
(d) schools, hospitals, rehabilitation and assisted-living centers,
and (e) representatives of multimedia industries and
standardization bodies.
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